From 8db9ec0681ac933666403ac079f7a6085c236a62 Mon Sep 17 00:00:00 2001 From: nathan-robino Date: Tue, 10 Feb 2026 10:00:29 -0500 Subject: [PATCH 1/7] Add literature context to PopAgingMPtransmission --- .../PopAgingMPtransmission.ipynb | 450 ++++++++++-------- .../prior-literature.md | 25 + .../proposed-revisions.md | 187 ++++++++ .../subsequent-literature-analysis.md | 58 +++ 4 files changed, 518 insertions(+), 202 deletions(-) create mode 100644 models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/prior-literature.md create mode 100644 models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/proposed-revisions.md create mode 100644 models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/subsequent-literature-analysis.md diff --git a/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/PopAgingMPtransmission.ipynb b/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/PopAgingMPtransmission.ipynb index f8389b34..563283df 100644 --- a/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/PopAgingMPtransmission.ipynb +++ b/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/PopAgingMPtransmission.ipynb @@ -1,207 +1,253 @@ { - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "

Paper 2: \"Population Aging and the Transmission of Monetary Policy to Consumption\"
\n", + "

\n", + "
Arlene Wong (2015)
\n", + "

\n", + "
Nino Kodua, Nathan Robino
\n", + "

\n", + "
Johns Hopkins University
\n", + "

\n", + "
February 16, 2020
" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Prior Literature and Motivation\n", + "\n", + "Demographic change and monetary policy transmission were long studied in largely separate literatures. On the one hand, work by Auerbach and Kotlikoff (1984, 1989), Abel (2002), and Ríos-Rull (1996, 2001) analyzed how demographics affect macroeconomic aggregates such as capital accumulation and asset prices, but did not connect demographic structure to the effectiveness of monetary policy.\n", + "\n", + "On the other hand, a growing literature in macroeconomics and household finance emphasized heterogeneity in household balance sheets as a key determinant of policy transmission. Kaplan and Violante (2014) introduced the idea of \"wealthy hand-to-mouth\" households and showed that the composition of assets (liquid vs. illiquid) is crucial for understanding consumption responses to policy. Auclert (2019) decomposed monetary transmission into income, wealth, and interest-rate-exposure channels, highlighting how differences across households shape aggregate outcomes.\n", + "\n", + "A parallel line of research focused on housing and mortgage markets as central channels of transmission. Mian, Rao, and Sufi (2013) documented how household balance sheets and housing wealth drive consumption dynamics, while Hurst and Stafford (2004) and Bhutta and Keys (2016) emphasized the role of mortgage refinancing. Berger et al. (2018) studied housing wealth effects more broadly. These papers identified powerful channels operating through housing and mortgages, but did not systematically examine how these channels vary with age.\n", + "\n", + "A small literature had begun to ask whether demographics weaken monetary policy. Imam (2015) and Juselius and Takáts (2015) provided reduced-form evidence that aging societies may experience weaker monetary transmission, but without a structural, microeconomic foundation.\n", + "\n", + "Wong (2016) brings these strands together by explicitly linking population aging to the transmission of monetary policy through age-varying consumption responses. By combining empirical evidence with a life-cycle model of households facing housing and mortgage frictions, the paper provides a structural explanation for why aging matters for monetary policy: younger households are more likely to be borrowers with mortgages and thus respond strongly through refinancing and new borrowing, whereas older households are more likely to hold interest-bearing assets and respond much less to interest rate changes." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "# Overview\n", + "\n", + "* **Research Question: What are the effects of demographic changes on the transmission of monetary policy to consumption?**\n", + "* **Part I: Empirical estimate**\n", + " * **Age-specific consumption elasticities to interest rate**\n", + " * **Consumption of young people is two-three times more responsive to interest rate shocks**\n", + " * **Consumption elasticities decline with age**\n", + " * **Consumption response driven by homeowners**\n", + " * **refinance or new loans following interest rate decline**\n", + "* **Part II: Life-cycle model - partial equilibrium overlapping generations economy**\n", + " * **Uninsurable labor income risk, life-cycle saving motive, fixed-rate mortgage structure**\n", + " * **Fixed costs to adjust long-term assets**\n", + " * **housing and fixed-rate mortgage**" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "# Household's maximization problem\n", + "\n", + "* **Each period households choose**\n", + " * **1. rent**\n", + " * **2. continue owning a house & not adjust existing mortgage**\n", + " * **3. adjust mortgage and housing stock**\n", + "* **Conditional on the adjustment, households choose**\n", + " * **non-durable consumption, savings in bonds and mortgage debt**\n", + "
\n", + "\n", + " \n", + "\\begin{aligned}V_{j a t}\\left(z_{j a t}\\right)=\\max \\left\\{V_{j a t}\\left(z_{j a t}\\right)^{\\mathrm{rent}}, V_{j a t}\\left(z_{j a t}\\right)^{\\mathrm{own} \\& \\text { no-adjust }}, V_{j a t}\\left(z_{j a t}\\right)^{\\text {own } \\& \\text { adjust }}\\right\\}\\end{aligned} \n", + " \n", + " \n", + "\n", + "\n", + " \n", + " \\begin{aligned}\n", + "z_{j a t}=\\left\\{S_{t}, y_{j a t}, \\operatorname{assets}_{j, a-1, t-1}\\right\\}\n", + "\\end{aligned} \n", + " \n", + " \n", + "\n", + "* **$S_t$ - uncertainty from aggregate state variables**\n", + "* **$y_{j a t}$ - uncertainty from idiosyncratic labor income**" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "# 1. Rent Case\n", + "\n", + "\n", + " \n", + "\\begin{aligned}V_{j a t}\\left(z_{j a t}\\right)^{\\mathrm{rent}}=\\max _{c_{j a t}, h_{j a t}^{\\mathrm{rat}}, s_{j a t}} \\frac{\\left(c_{j a t}^{\\alpha} \\cdot h_{j a t}^{1-\\alpha}\\right)^{1-\\sigma}-1}{1-\\sigma}+E_{j a t}\\left[V_{j, a+1, t+1}\\left(z_{j, a+1, t+1}\\right)\\right]\\end{aligned} \n", + " \n", + " \n", + "\n", + "\n", + " \n", + " \\begin{aligned} s.t. h_{j a t} &=h_{j a t}^{\\text {rent }} \\\\ c_{j a t}+s_{j a t}+p_{t}^{r} h_{j a t}^{\\text {rent }} &=y_{j a t}+(1-\\delta) p_{t} h_{j, a-1, t-1}^{\\text {own }}+\\left(1+r_{t}\\right) s_{j, a-1, t-1}-b_{j, a-1, t-1}\\left(1+R_{j, a-1, t-1}\\right) \\\\ h_{j a t}^{\\text {own }} &=b_{j a t}=0 \\\\ s_{j a t} & \\geq-\\underline{s} \\\\ \\log \\left(y_{j a t}\\right) &=\\chi_{a}+\\eta_{j a t}+\\phi_{a}\\left(y_{t} / y\\right) \\\\ S_{t} &=A_{0}+A_{1} S_{t-1}+u_{t} \\end{aligned}\n", + " \n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "# 2. Own & No-adjust Case\n", + "\n", + "\n", + " \n", + "\\begin{aligned}V_{j a t}\\left(z_{j a t}\\right)^{\\text {own \\& no-adjust }}=\\max _{c_{j a t}, s_{j a t}} \\frac{\\left(c_{j a t}^{\\alpha} \\cdot h_{j a t}^{1-\\alpha}\\right)^{1-\\sigma}-1}{1-\\sigma}+E_{j a t}\\left[V_{j, a+1, t+1}\\left(z_{j, a+1, t+1}\\right)\\right]\\end{aligned} \n", + " \n", + " \n", + "\n", + "\n", + " \n", + " \\begin{aligned} s.t. h_{j a t} &=(1-\\delta) h_{j, a, t-1}^{\\mathrm{own}} \\\\ c_{j a t}+s_{j a t} &=y_{j a t}+\\left(1+r_{t}\\right) s_{j, a-1, t-1}-M_{j a t} \\\\ s_{j a t} & \\geq-\\underline{s} \\\\ \\log \\left(y_{j a t}\\right) &=\\chi_{a}+\\eta_{j a t}+\\phi_{a}\\left(y_{t} / y\\right) \\\\ S_{t} &=A_{0}+A_{1} S_{t-1}+u_{t} \\end{aligned}\n", + " \n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "# 3. Own & Adjust Case\n", + "\n", + "\n", + " \n", + "\\begin{aligned}V_{j a t}\\left(z_{j a t}\\right)^{\\text {own \\& adjust }}=\\max _{c_{j a t}, s_{j a t}, h_{j a t}^{\\text {own }}, b_{j a t}} \\frac{\\left(c_{j a t}^{\\alpha} \\cdot h_{j a t}^{1-\\alpha}\\right)^{1-\\sigma}-1}{1-\\sigma}+E_{j a t}\\left[V_{j, a+1, t+1}\\left(z_{j, a+1, t+1}\\right)\\right] \\end{aligned} \n", + " \n", + " \n", + "\n", + "\n", + " \n", + " \\begin{aligned} s.t. h_{j a t} &=h_{j, a}^{\\mathrm{own}} \\\\ b_{j a t} & \\leq(1-\\phi) p_{t} h_{j a t}^{\\mathrm{own}} \\\\ c_{j a t}+s_{j a t}+p_{t} h_{j a t}^{\\mathrm{own}}-b_{j a t}-F &=y_{j a t}+(1-\\delta) p_{t} h_{j, a-1, t-1}^{\\mathrm{own}}+\\left(1+r_{t}\\right) s_{j, a-1, t-1}-b_{j, a-1, t-1}\\left(1+R_{j, a-1, t-1}\\right) \\\\ s_{j a t} & \\geq-\\underline{s} \\\\ \\log \\left(y_{j a t}\\right) &=\\chi_{a}+\\eta_{j a t}+\\phi_{a}\\left(y_{t} / y\\right) \\\\ S_{t} &=A_{0}+A_{1} S_{t-1}+u_{t} \\end{aligned} \n", + " \n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "# Retirement and Death\n", + "\n", + "* **Upon death, agent bequasts total new wealth:**\n", + "\n", + "\n", + " \n", + "\\begin{aligned}W_{j a t}=(1-\\delta) p_{t} h_{j, a-1, t-1}^{\\mathrm{own}}+\\left(1+r_{t}\\right) s_{j, a-1, t-1}\n", + " \\end{aligned} \n", + " \n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "# Results\n", + "\n", + "* **The refinancing and new lending channel** \n", + " * **the difference in the consumption responses of the young-old to interest rate shocks**\n", + "* **Aging population can significantly dampen the transmission of monetary policy** " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Subsequent Literature and Research Directions\n", + "\n", + "The literature following Wong (2016) has developed several themes that deepen and extend the paper's insights about aging, housing, and monetary policy.\n", + "\n", + "## The Refinancing Channel as a Core Mechanism\n", + "\n", + "A first strand has focused on mortgage refinancing as a central channel through which monetary policy affects household consumption. Di Maggio et al. (2017), Abel and Fuster (2021), and Amromin, Bhutta, and Keys (2020), among others, provided additional empirical evidence on the magnitude and distribution of refinancing-induced consumption responses.\n", + "\n", + "Eichenbaum, Rebelo, and Wong (2022) build directly on Wong (2016) by emphasizing the *state-dependent* nature of the refinancing channel. Monetary policy is most powerful when many households hold mortgages at rates above current market rates, so that rate cuts trigger widespread refinancing; once most households have already refinanced, further cuts have much weaker effects. This state dependence implies that the effectiveness of policy depends on the history of interest rates and past refinancing activity.\n", + "\n", + "## Heterogeneous-Agent New Keynesian (HANK) Models\n", + "\n", + "A second strand is the development of heterogeneous-agent New Keynesian (HANK) models, as in Kaplan, Moll, and Violante (2016). These models show that allowing for rich household heterogeneity— in income, wealth, and balance-sheet positions—can produce very different predictions for monetary transmission than representative-agent models. Wong's emphasis on age as an important dimension of heterogeneity complements this literature by highlighting demographic structure as a key state variable for policy analysis.\n", + "\n", + "## Regional and Path-Dependent Heterogeneity\n", + "\n", + "A third strand studies how the strength of the refinancing channel varies across space and over time. Beraja, Fuster, Hurst, and Vavra (2019) show that regional differences in housing equity and mortgage positions generate large cross-sectional heterogeneity in the impact of monetary policy: households in regions with low or negative home equity are often unable to refinance, even when rates fall. Berger, Milbradt, Tourre, and Vavra (2021) develop a structural framework in which the distribution of mortgage rates is shaped by the history of interest rates, generating path dependence in policy effectiveness.\n", + "\n", + "## Housing Market Design and Distributional Consequences\n", + "\n", + "A fourth strand examines how the institutional design of mortgage markets shapes monetary transmission. Guren, Krishnamurthy, and McQuade (2018) and Greenwald (2016) study how contract terms—such as fixed versus adjustable rates, prepayment options, and down payment requirements—affect both the strength and distribution of policy effects. This connects directly to policy debates about the optimal design of mortgage markets in aging societies.\n", + "\n", + "Finally, work by Coibion et al. (2017) and a broader literature on monetary policy and inequality emphasizes the distributional consequences of monetary policy. Together with Wong (2016), this research suggests that understanding who is exposed to interest-rate changes—by age, wealth, and housing tenure—is critical for evaluating both the effectiveness and the equity implications of monetary policy." + ] } - }, - "source": [ - "

Paper 2: \"Population Aging and the Transmission of Monetary Policy to Consumption\"
\n", - "

\n", - "
Arlene Wond (2015)
\n", - "

\n", - "
Nino Kodua
\n", - "

\n", - "
Johns Hopkins University
\n", - "

\n", - "
February 16, 2020
" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "# Overview\n", - "\n", - "* **Research Question: What are the effects of demographic changes on the transmission of monetary policy to consumption?**\n", - "* **Part I: Empirical estimate**\n", - " * **Age-specific consumption elasticities to interest rate**\n", - " * **Consumption of young people is two-three times more responsive to interest rate shocks**\n", - " * **Consumption elasticities decline with age**\n", - " * **Consumption response driven by homeowners**\n", - " * **refinance or new loans following interest rate decline**\n", - "* **Part II: Life-cycle model - partial equilibrium overlapping generations economy**\n", - " * **Uninsurable labor income risk, life-cycle saving motive, fixed-rate mortgage structure**\n", - " * **Fixed costs to adjust long-term assets**\n", - " * **housing and fixed-rate mortgage**" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "# Household's maximization problem\n", - "\n", - "* **Each period households choose**\n", - " * **1. rent**\n", - " * **2. continue owning a house & not adjust existing mortgage**\n", - " * **3. adjust mortgage and housing stock**\n", - "* **Conditional on the adjustment, households choose**\n", - " * **non-durable consumption, savings in bonds and mortgage debt**\n", - "
\n", - "\n", - " \n", - "\\begin{aligned}V_{j a t}\\left(z_{j a t}\\right)=\\max \\left\\{V_{j a t}\\left(z_{j a t}\\right)^{\\mathrm{rent}}, V_{j a t}\\left(z_{j a t}\\right)^{\\mathrm{own} \\& \\text { no-adjust }}, V_{j a t}\\left(z_{j a t}\\right)^{\\text {own } \\& \\text { adjust }}\\right\\}\\end{aligned} \n", - " \n", - " \n", - "\n", - "\n", - " \n", - " \\begin{aligned}\n", - "z_{j a t}=\\left\\{S_{t}, y_{j a t}, \\operatorname{assets}_{j, a-1, t-1}\\right\\}\n", - "\\end{aligned} \n", - " \n", - " \n", - "\n", - "* **$S_t$ - uncertainty from aggregate state variables**\n", - "* **$y_{j a t}$ - uncertainty from idiosyncratic labor income**" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "subslide" - } - }, - "source": [ - "# 1. Rent Case\n", - "\n", - "\n", - " \n", - "\\begin{aligned}V_{j a t}\\left(z_{j a t}\\right)^{\\mathrm{rent}}=\\max _{c_{j a t}, h_{j a t}^{\\mathrm{rat}}, s_{j a t}} \\frac{\\left(c_{j a t}^{\\alpha} \\cdot h_{j a t}^{1-\\alpha}\\right)^{1-\\sigma}-1}{1-\\sigma}+E_{j a t}\\left[V_{j, a+1, t+1}\\left(z_{j, a+1, t+1}\\right)\\right]\\end{aligned} \n", - " \n", - " \n", - "\n", - "\n", - " \n", - " \\begin{aligned} s.t. h_{j a t} &=h_{j a t}^{\\text {rent }} \\\\ c_{j a t}+s_{j a t}+p_{t}^{r} h_{j a t}^{\\text {rent }} &=y_{j a t}+(1-\\delta) p_{t} h_{j, a-1, t-1}^{\\text {own }}+\\left(1+r_{t}\\right) s_{j, a-1, t-1}-b_{j, a-1, t-1}\\left(1+R_{j, a-1, t-1}\\right) \\\\ h_{j a t}^{\\text {own }} &=b_{j a t}=0 \\\\ s_{j a t} & \\geq-\\underline{s} \\\\ \\log \\left(y_{j a t}\\right) &=\\chi_{a}+\\eta_{j a t}+\\phi_{a}\\left(y_{t} / y\\right) \\\\ S_{t} &=A_{0}+A_{1} S_{t-1}+u_{t} \\end{aligned}\n", - " \n", - " " - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "subslide" - } - }, - "source": [ - "# 2. Own & No-adjust Case\n", - "\n", - "\n", - " \n", - "\\begin{aligned}V_{j a t}\\left(z_{j a t}\\right)^{\\text {own \\& no-adjust }}=\\max _{c_{j a t}, s_{j a t}} \\frac{\\left(c_{j a t}^{\\alpha} \\cdot h_{j a t}^{1-\\alpha}\\right)^{1-\\sigma}-1}{1-\\sigma}+E_{j a t}\\left[V_{j, a+1, t+1}\\left(z_{j, a+1, t+1}\\right)\\right]\\end{aligned} \n", - " \n", - " \n", - "\n", - "\n", - " \n", - " \\begin{aligned} s.t. h_{j a t} &=(1-\\delta) h_{j, a, t-1}^{\\mathrm{own}} \\\\ c_{j a t}+s_{j a t} &=y_{j a t}+\\left(1+r_{t}\\right) s_{j, a-1, t-1}-M_{j a t} \\\\ s_{j a t} & \\geq-\\underline{s} \\\\ \\log \\left(y_{j a t}\\right) &=\\chi_{a}+\\eta_{j a t}+\\phi_{a}\\left(y_{t} / y\\right) \\\\ S_{t} &=A_{0}+A_{1} S_{t-1}+u_{t} \\end{aligned}\n", - " \n", - " " - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "subslide" - } - }, - "source": [ - "# 3. Own & Adjust Case\n", - "\n", - "\n", - " \n", - "\\begin{aligned}V_{j a t}\\left(z_{j a t}\\right)^{\\text {own \\& adjust }}=\\max _{c_{j a t}, s_{j a t}, h_{j a t}^{\\text {own }}, b_{j a t}} \\frac{\\left(c_{j a t}^{\\alpha} \\cdot h_{j a t}^{1-\\alpha}\\right)^{1-\\sigma}-1}{1-\\sigma}+E_{j a t}\\left[V_{j, a+1, t+1}\\left(z_{j, a+1, t+1}\\right)\\right] \\end{aligned} \n", - " \n", - " \n", - "\n", - "\n", - " \n", - " \\begin{aligned} s.t. h_{j a t} &=h_{j, a}^{\\mathrm{own}} \\\\ b_{j a t} & \\leq(1-\\phi) p_{t} h_{j a t}^{\\mathrm{own}} \\\\ c_{j a t}+s_{j a t}+p_{t} h_{j a t}^{\\mathrm{own}}-b_{j a t}-F &=y_{j a t}+(1-\\delta) p_{t} h_{j, a-1, t-1}^{\\mathrm{own}}+\\left(1+r_{t}\\right) s_{j, a-1, t-1}-b_{j, a-1, t-1}\\left(1+R_{j, a-1, t-1}\\right) \\\\ s_{j a t} & \\geq-\\underline{s} \\\\ \\log \\left(y_{j a t}\\right) &=\\chi_{a}+\\eta_{j a t}+\\phi_{a}\\left(y_{t} / y\\right) \\\\ S_{t} &=A_{0}+A_{1} S_{t-1}+u_{t} \\end{aligned} \n", - " \n", - " " - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "subslide" - } - }, - "source": [ - "# Retirement and Death\n", - "\n", - "* **Upon death, agent bequasts total new wealth:**\n", - "\n", - "\n", - " \n", - "\\begin{aligned}W_{j a t}=(1-\\delta) p_{t} h_{j, a-1, t-1}^{\\mathrm{own}}+\\left(1+r_{t}\\right) s_{j, a-1, t-1}\n", - " \\end{aligned} \n", - " \n", - " " - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" + ], + "metadata": { + "celltoolbar": "Slideshow", + "kernelspec": { + "display_name": ".venv-linux-x86_64", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.3" } - }, - "source": [ - "# Results\n", - "\n", - "* **The refinancing and new lending channel** \n", - " * **the difference in the consumption responses of the young-old to interest rate shocks**\n", - "* **Aging population can significantly dampen the transmission of monetary policy** " - ] - } - ], - "metadata": { - "celltoolbar": "Slideshow", - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.3" - } - }, - "nbformat": 4, - "nbformat_minor": 2 + "nbformat": 4, + "nbformat_minor": 2 } diff --git a/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/prior-literature.md b/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/prior-literature.md new file mode 100644 index 00000000..f39c1ff2 --- /dev/null +++ b/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/prior-literature.md @@ -0,0 +1,25 @@ +# Prior Literature Summary: "Population Aging and the Transmission of Monetary Policy to Consumption", by Arlene Wong + +## The papers Wong cites + +Based on the bibliography, Wong (2016) appears to have filled several important gaps by synthesizing and extending the existing literature in novel ways: + +### Connecting Demographics to Monetary Policy Transmission + +Prior work had largely treated these as separate topics. On one hand, papers like Auerbach and Kotlikoff (1984, 1989), Abel (2002), and Ríos-Rull (1996, 2001) studied how demographics affect macroeconomic aggregates like capital accumulation and asset prices. On the other hand, papers like Auclert (2019), Kaplan and Violante (2014), and Di Maggio, Kermani, and Ramcharan (2014) studied how household heterogeneity affects monetary policy transmission. Wong appears to have been among the first to explicitly link population aging to the effectiveness of monetary policy through consumption responses, asking whether an aging population systematically changes how monetary policy works. + +### Integrating Multiple Transmission Channels + +The literature had identified several channels through which monetary policy affects consumption—housing wealth effects (Mian and Sufi 2013; Berger et al. 2018), mortgage refinancing (Hurst and Stafford 2004; Bhutta and Keys 2016), and redistribution between borrowers and savers (Doepke and Schneider 2006; Auclert 2019). Wong's contribution seems to have been showing how these channels vary systematically with age, since younger households are more likely to be borrowers with adjustable-rate mortgages while older households are more likely to hold interest-bearing assets. + +### Policy-Relevant Implications for Aging Societies + +While Imam (2015) and Juselius and Takáts (2015) had begun exploring whether demographics weaken monetary policy, Wong appears to have provided a more structural, microeconomic foundation by modeling how life-cycle consumption behavior interacts with monetary transmission. This offered a deeper understanding of why aging might matter, rather than simply documenting correlations. + +## Key foundational papers + +- **Kaplan and Violante (2014)**, "A Model of the Consumption Response to Fiscal Stimulus Payments" - This paper introduced the concept of "wealthy hand-to-mouth" households and demonstrated that heterogeneity in household balance sheets, particularly the distinction between liquid and illiquid assets, is crucial for understanding how policy affects consumption. This framework fundamentally shaped how economists think about monetary policy transmission through household heterogeneity, and is central to understanding why age—which correlates strongly with asset composition—matters for policy transmission. + +- **Auclert (2019)**, "Monetary Policy and the Redistribution Channel" - This paper provided a systematic theoretical framework for understanding how monetary policy affects consumption through redistribution across households with different exposures to interest rate changes. It decomposed the channels through which monetary policy operates (income, wealth, and interest rate exposure) and showed how household heterogeneity determines aggregate policy effectiveness. This directly motivates analyzing how demographic composition affects monetary transmission. + +- **Mian, Rao, and Sufi (2013)**, "Household Balance Sheets, Consumption, and the Economic Slump" - This empirical paper demonstrated the powerful connection between household balance sheets, housing wealth, and consumption at the regional level during the Great Recession. It established key empirical approaches for linking geographic variation in household financial positions to consumption responses, providing both methodological tools and motivation for studying how household characteristics mediate policy effects. \ No newline at end of file diff --git a/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/proposed-revisions.md b/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/proposed-revisions.md new file mode 100644 index 00000000..acc9240b --- /dev/null +++ b/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/proposed-revisions.md @@ -0,0 +1,187 @@ +# Proposed Revisions to PopAgingMPtransmission.ipynb + +## Current Notebook Structure + +| Cell | Content | Type | +|------|---------|------| +| 0 | Title / author / date header | Markdown (HTML) | +| 1 | Overview (research question, Part I empirical, Part II model) | Markdown | +| 2 | Household's maximization problem | Markdown + LaTeX | +| 3 | Rent Case | Markdown + LaTeX | +| 4 | Own & No-adjust Case | Markdown + LaTeX | +| 5 | Own & Adjust Case | Markdown + LaTeX | +| 6 | Retirement and Death | Markdown + LaTeX | +| 7 | Results (brief bullet points) | Markdown | + +--- + +## Proposed Revised Structure + +The revised notebook should follow a more complete academic-presentation format: motivate the paper in its literature, present the model, show results, and then connect the work to the subsequent literature. Below is the proposed cell-by-cell layout with specific revisions. + +--- + +### Cell 0 — Title (minor edits) + +**Current issue:** The author's name is misspelled ("Arlene Wond" should be "Arlene Wong"). The date says "February 16, 2020" — update to reflect the revision date. + +**Proposed changes:** +- Fix author name: "Arlene Wong (2016)" +- Update the presenter date to the current revision date +- Optionally add a link to the published paper or working paper URL + +--- + +### NEW Cell 1 — Prior Literature Section (insert before current Cell 1) + +**Rationale:** The notebook currently jumps straight into the overview without any context for *why* this paper matters or what gap it fills. A prior-literature section frames the contribution. + +**Proposed content — "Prior Literature and Motivation":** + +- **Demographics and Macroeconomics (separate from monetary policy):** + Auerbach & Kotlikoff (1984, 1989), Abel (2002), and Ríos-Rull (1996, 2001) studied how demographics affect capital accumulation and asset prices, but did *not* connect demographics to monetary policy transmission. + +- **Household Heterogeneity and Monetary Policy (separate from demographics):** + Kaplan & Violante (2014) introduced "wealthy hand-to-mouth" households and showed balance-sheet heterogeneity matters for policy transmission. Auclert (2019) decomposed monetary transmission into income, wealth, and interest-rate-exposure channels. Neither paper connected these insights to population aging. + +- **Housing and Mortgage Channels:** + Mian, Rao, & Sufi (2013) demonstrated the connection between household balance sheets, housing wealth, and consumption. Hurst & Stafford (2004) and Bhutta & Keys (2016) documented the mortgage refinancing channel. Berger et al. (2018) studied housing wealth effects. These papers identified the channels but did not examine how they vary by age. + +- **Early Demographic-Monetary Policy Work:** + Imam (2015) and Juselius & Takáts (2015) began exploring whether demographics weaken monetary policy, but relied on reduced-form correlations without a structural micro-foundation. + +- **Wong's Contribution — The Gap She Filled:** + Wong (2016) was among the first to *explicitly link* population aging to monetary policy effectiveness through age-varying consumption responses, providing a structural, life-cycle micro-foundation showing *why* aging matters (younger households are borrowers with mortgages; older households hold interest-bearing assets). + +--- + +### Cell 2 — Overview (currently Cell 1, with enhancements) + +**Proposed changes:** +- Keep the existing bullet-point overview structure +- Add a brief paragraph or bullets at the top summarizing the paper's *main finding* in plain language: "An aging population dampens monetary policy transmission because older households are less responsive to interest rate changes, primarily due to lower mortgage exposure." +- Add a note about the two-part structure: empirical evidence first, then a structural model that rationalizes the empirical findings + +--- + +### Cells 3–7 — Model Presentation (currently Cells 2–6, with improvements) + +These cells present the core model and are mathematically sound. Proposed improvements: + +#### All model cells — Formatting cleanup +- Replace deprecated `` and `` HTML tags with proper Markdown/LaTeX formatting +- Use `$$...$$` display math blocks instead of wrapping LaTeX in HTML `` tags +- Use Markdown headers and bold text instead of HTML `` tags +- This will improve rendering consistency across Jupyter environments + +#### Cell 3 (Household's maximization problem) — Add intuition +- Before the math, add a short paragraph explaining the economic intuition: "The household faces a discrete choice each period among three options that differ in housing tenure and mortgage adjustment. This structure captures the key friction: adjusting housing/mortgage positions is costly, so many households are 'locked in' to existing mortgage terms." +- Define notation more explicitly (e.g., what $j$, $a$, $t$ index — cohort, age, time) + +#### Cell 4 (Rent Case) — Add intuition +- Add a brief note: "Renters have no housing wealth or mortgage debt. Their consumption responds to interest rates only through the savings channel." + +#### Cell 5 (Own & No-adjust Case) — Add intuition +- Add: "Homeowners who do not adjust continue paying their existing mortgage at the *original* contracted rate. This is the key friction — even when market rates fall, these households do not benefit until they refinance." +- Clarify what $M_{jat}$ represents (mortgage payment at the contracted rate) + +#### Cell 6 (Own & Adjust Case) — Add intuition +- Add: "When homeowners adjust, they pay a fixed cost $F$ but can refinance at the new market rate and resize their housing stock. This captures the refinancing channel — the mechanism through which monetary policy most strongly affects younger homeowners." +- Note the LTV constraint $b_{jat} \leq (1-\phi) p_t h_{jat}^{\text{own}}$ and its role + +#### Cell 7 (Retirement and Death) — Expand +- Add a note on how retirement changes the model: retirees receive pension/Social Security income instead of stochastic labor income +- Briefly note the bequest motive and its role in the model + +--- + +### Cell 8 — Results (currently Cell 7, significantly expanded) + +**Current issue:** The results section is only three bullet points and does not convey the paper's quantitative findings. + +**Proposed changes — expand to cover:** + +1. **Empirical Results (Part I):** + - Age-specific consumption elasticities: consumption of young households is 2–3× more responsive to interest rate shocks than that of older households + - Consumption elasticities decline monotonically with age + - The response is driven by *homeowners*, specifically through refinancing and new mortgage origination following rate declines + - Renters show much weaker consumption responses + +2. **Model Results (Part II):** + - The calibrated life-cycle model replicates the age-varying consumption elasticities + - The refinancing channel is quantitatively the most important transmission mechanism + - Counterfactual: shifting the age distribution toward older households (as projected by demographic trends) reduces the aggregate consumption response to monetary policy by a quantified amount + +3. **Policy Implications:** + - As populations age, central banks may need larger interest rate changes to achieve the same consumption stimulus + - The effectiveness of monetary policy is not constant — it depends on the demographic composition of the economy + +--- + +### NEW Cell 9 — Subsequent Literature Section (insert after Results) + +**Rationale:** Connecting the paper to subsequent research shows its influence and helps readers understand where the field has moved. + +**Proposed content — "Subsequent Literature and Research Directions":** + +1. **The Refinancing Channel — Deepened Understanding:** + - Di Maggio et al. (2017), Abel & Fuster (2021), Amromin, Bhutta, & Keys (2020) provided further empirical evidence on the refinancing channel's magnitude + - Eichenbaum, Rebelo, & Wong (2022) — a direct extension by Wong herself — showed that monetary policy effectiveness is *state-dependent*: it depends on the distribution of existing mortgage rates. When many households hold above-market rates, easing is powerful; after widespread refinancing, the channel is muted. + +2. **HANK Models Became the New Benchmark:** + - Kaplan, Moll, & Violante (2016) established that heterogeneous-agent models produce fundamentally different predictions about monetary transmission than representative-agent models + - Wong's work contributed to this shift by demonstrating that age-based heterogeneity (not just wealth heterogeneity) matters + +3. **Regional and Path-Dependent Heterogeneity:** + - Beraja, Fuster, Hurst, & Vavra (2019) showed the refinancing channel depends on local housing equity — regions with underwater mortgages cannot refinance even when rates fall + - Berger, Milbradt, Tourre, & Vavra (2021) showed path dependence: the history of interest rates shapes the current mortgage-rate distribution, creating time-varying policy effectiveness + +4. **Housing Market Design and Monetary Transmission:** + - Guren, Krishnamurthy, & McQuade (2018) and Greenwald (2016) examined how mortgage contract design (FRM vs. ARM, prepayment options) shapes transmission + - Policy debates about optimal mortgage market structure + +5. **Distributional Consequences:** + - Coibion et al. (2017) and the broader inequality literature examined how monetary policy affects different households differently + +--- + +### NEW Cell 10 — Open Questions and Future Directions + +**Rationale:** Pointing to remaining gaps helps position the notebook as a living research document and guides future work. + +**Proposed content — selected highlights from the gaps analysis:** + +- **International variation:** Almost all evidence is U.S.-specific. How do these mechanisms work in ARM-dominant markets (UK, Australia), covered-bond systems (Germany, Denmark), or developing economies with thin mortgage markets? +- **Rental markets:** The literature focuses on homeowners, but rising homeownership barriers mean large fractions of young households rent. How does monetary policy transmit to renters? +- **The unfinished aging agenda:** How will monetary policy effectiveness evolve as baby boomers decumulate assets? How do retirement timing decisions interact with policy? +- **Behavioral frictions:** Do inattention, procrastination, or financial illiteracy dampen the refinancing channel? +- **Long-run consequences:** How does monetary policy affect life-cycle wealth accumulation, cohort effects, and intergenerational transfers? + +--- + +### NEW Cell 11 — References + +**Rationale:** The notebook currently has no bibliography. A proper reference list improves academic credibility. + +**Proposed content:** A formatted bibliography of all papers cited in the notebook, including: +- Wong (2016) — the focal paper +- All prior-literature references (Kaplan & Violante 2014; Auclert 2019; Mian, Rao, & Sufi 2013; etc.) +- All subsequent-literature references (Eichenbaum, Rebelo, & Wong 2022; Beraja et al. 2019; Berger et al. 2021; etc.) + +--- + +## Summary of All Proposed Changes + +| Change | Location | Priority | +|--------|----------|----------| +| Fix author name typo ("Wond" → "Wong") | Cell 0 | High | +| Update date | Cell 0 | Low | +| **Add Prior Literature section** | **New Cell 1 (before Overview)** | **High** | +| Enhance Overview with plain-language summary | Cell 2 (old Cell 1) | Medium | +| Clean up HTML formatting → proper Markdown/LaTeX | Cells 3–7 | Medium | +| Add economic intuition before each model case | Cells 3–7 | Medium | +| Define notation explicitly | Cell 3 | Medium | +| **Significantly expand Results** | **Cell 8 (old Cell 7)** | **High** | +| **Add Subsequent Literature section** | **New Cell 9 (after Results)** | **High** | +| Add Open Questions / Future Directions | New Cell 10 | Medium | +| Add References / Bibliography | New Cell 11 | High | diff --git a/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/subsequent-literature-analysis.md b/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/subsequent-literature-analysis.md new file mode 100644 index 00000000..ad0bab4a --- /dev/null +++ b/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/subsequent-literature-analysis.md @@ -0,0 +1,58 @@ +# Subsequent Literature Analysis: "Population Aging and the Transmission of Monetary Policy to Consumption" + +## Papers that cite my ballpark paper + +I found 21 papers in LitMaps. + +## Research Directions That Emerged + +The literature citing Wong (2016) has developed along several interconnected trajectories: + +### 1. The Refinancing Channel as a Core Transmission Mechanism + +A major strand of research has focused intensively on mortgage refinancing as a key channel through which monetary policy affects household consumption. This includes both empirical work documenting the magnitude of these effects (Di Maggio et al. 2017; Abel and Fuster 2021; Amromin, Bhutta, and Keys 2020) and theoretical work modeling the state-dependent nature of refinancing behavior (Eichenbaum, Rebelo, and Wong 2022; Berger et al. 2021). + +### 2. Heterogeneous Agent New Keynesian (HANK) Models + +The field has moved decisively toward incorporating household heterogeneity into macroeconomic models of monetary policy. Kaplan, Moll, and Violante (2016) represents a watershed moment, establishing that models with heterogeneous agents produce fundamentally different predictions about monetary transmission than representative agent models. This framework has become the new benchmark for studying monetary policy. + +### 3. Regional and State-Dependent Heterogeneity + +Researchers have explored how the effects of monetary policy vary across space and time. Beraja et al. (2019) showed that the refinancing channel's strength depends on the regional distribution of housing equity, while Eichenbaum, Rebelo, and Wong (2022) demonstrated that monetary policy effectiveness depends on the state of the economy and the history of interest rates. + +### 4. Housing Market Structure and Mortgage Design + +Work by Guren, Krishnamurthy, and McQuade (2018) and Greenwald (2016) has examined how the institutional features of mortgage markets—contract terms, prepayment options, down payment requirements—shape monetary transmission. This connects to policy debates about optimal mortgage market design. + +### 5. Distributional Consequences of Monetary Policy + +Coibion et al. (2017) and the broader literature on monetary policy and inequality have examined how monetary policy affects different households differently, with implications for both efficiency and equity. + +--- + +## What's Cutting-Edge Now + +The frontier of this literature appears to be: + +- **Path dependence and history dependence**: Understanding how past interest rates and refinancing decisions affect current policy effectiveness (Berger et al. 2021) +- **Endogenous housing and mortgage choices**: Models where households' housing tenure and mortgage decisions respond to policy, creating feedback effects (Kinnerud 2025; Guren et al. 2018) +- **Quantitative HANK models**: Calibrated models that can match micro-level consumption and balance sheet data while generating realistic aggregate dynamics +- **Interaction of multiple channels**: How refinancing, wealth effects, income effects, and redistribution channels interact and potentially offset each other + +--- + +## Most Important Papers for Understanding Where the Field Is Heading + +### 1. Eichenbaum, Rebelo, and Wong (2022), "State-Dependent Effects of Monetary Policy: The Refinancing Channel" + +This paper (co-authored by Wong herself) represents a direct extension of the 2016 work. It demonstrates that monetary policy's effectiveness varies substantially depending on the distribution of existing mortgage rates in the economy. When many households have mortgages with rates above current market rates, monetary easing is powerful; when most have already refinanced, the channel is muted. This state dependence has profound implications for how central banks should think about policy in different environments and connects to debates about forward guidance and quantitative easing. + +### 2. Beraja, Fuster, Hurst, and Vavra (2019), "Regional Heterogeneity and the Refinancing Channel of Monetary Policy" + +This paper showed empirically that the refinancing channel's strength depends critically on local housing market conditions. Regions where homeowners had negative or low equity could not refinance even when rates fell, weakening monetary transmission precisely where stimulus was most needed. This geographic heterogeneity has important implications for understanding why monetary policy may have limited effectiveness following housing busts and connects to policy discussions about programs like HARP. + +### 3. Berger, Milbradt, Tourre, and Vavra (2021), "Mortgage Prepayment and Path-Dependent Effects of Monetary Policy" + +This paper develops a structural model showing how the history of interest rates affects the current distribution of mortgage rates, creating path dependence in monetary policy effectiveness. It provides a rigorous framework for understanding why the "refinancing channel" varies over time and offers tools for quantifying how past policy decisions constrain current policy options. This represents the cutting edge of integrating mortgage market microstructure into macroeconomic models. + +--- From a27aee0d47bb6f800832497982f006e75bb29894 Mon Sep 17 00:00:00 2001 From: nathanrobino Date: Tue, 17 Feb 2026 12:00:35 -0500 Subject: [PATCH 2/7] Add notebooks and citations --- .../PopAgingMPtransmission.ipynb | 450 +++--- .../PopAgingMPtransmission.md | 137 ++ .../PopAgingMPtransmission_summary.ipynb | 207 +++ .../PopAgingMPtransmission/bibliography.bib | 1405 +++++++++++++++++ .../subsequent-literature.bib | 213 +++ 5 files changed, 2164 insertions(+), 248 deletions(-) create mode 100644 models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/PopAgingMPtransmission.md create mode 100644 models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/PopAgingMPtransmission_summary.ipynb create mode 100755 models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/bibliography.bib create mode 100755 models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/subsequent-literature.bib diff --git a/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/PopAgingMPtransmission.ipynb b/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/PopAgingMPtransmission.ipynb index 563283df..f8389b34 100644 --- a/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/PopAgingMPtransmission.ipynb +++ b/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/PopAgingMPtransmission.ipynb @@ -1,253 +1,207 @@ { - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "

Paper 2: \"Population Aging and the Transmission of Monetary Policy to Consumption\"
\n", - "

\n", - "
Arlene Wong (2015)
\n", - "

\n", - "
Nino Kodua, Nathan Robino
\n", - "

\n", - "
Johns Hopkins University
\n", - "

\n", - "
February 16, 2020
" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Prior Literature and Motivation\n", - "\n", - "Demographic change and monetary policy transmission were long studied in largely separate literatures. On the one hand, work by Auerbach and Kotlikoff (1984, 1989), Abel (2002), and Ríos-Rull (1996, 2001) analyzed how demographics affect macroeconomic aggregates such as capital accumulation and asset prices, but did not connect demographic structure to the effectiveness of monetary policy.\n", - "\n", - "On the other hand, a growing literature in macroeconomics and household finance emphasized heterogeneity in household balance sheets as a key determinant of policy transmission. Kaplan and Violante (2014) introduced the idea of \"wealthy hand-to-mouth\" households and showed that the composition of assets (liquid vs. illiquid) is crucial for understanding consumption responses to policy. Auclert (2019) decomposed monetary transmission into income, wealth, and interest-rate-exposure channels, highlighting how differences across households shape aggregate outcomes.\n", - "\n", - "A parallel line of research focused on housing and mortgage markets as central channels of transmission. Mian, Rao, and Sufi (2013) documented how household balance sheets and housing wealth drive consumption dynamics, while Hurst and Stafford (2004) and Bhutta and Keys (2016) emphasized the role of mortgage refinancing. Berger et al. (2018) studied housing wealth effects more broadly. These papers identified powerful channels operating through housing and mortgages, but did not systematically examine how these channels vary with age.\n", - "\n", - "A small literature had begun to ask whether demographics weaken monetary policy. Imam (2015) and Juselius and Takáts (2015) provided reduced-form evidence that aging societies may experience weaker monetary transmission, but without a structural, microeconomic foundation.\n", - "\n", - "Wong (2016) brings these strands together by explicitly linking population aging to the transmission of monetary policy through age-varying consumption responses. By combining empirical evidence with a life-cycle model of households facing housing and mortgage frictions, the paper provides a structural explanation for why aging matters for monetary policy: younger households are more likely to be borrowers with mortgages and thus respond strongly through refinancing and new borrowing, whereas older households are more likely to hold interest-bearing assets and respond much less to interest rate changes." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "# Overview\n", - "\n", - "* **Research Question: What are the effects of demographic changes on the transmission of monetary policy to consumption?**\n", - "* **Part I: Empirical estimate**\n", - " * **Age-specific consumption elasticities to interest rate**\n", - " * **Consumption of young people is two-three times more responsive to interest rate shocks**\n", - " * **Consumption elasticities decline with age**\n", - " * **Consumption response driven by homeowners**\n", - " * **refinance or new loans following interest rate decline**\n", - "* **Part II: Life-cycle model - partial equilibrium overlapping generations economy**\n", - " * **Uninsurable labor income risk, life-cycle saving motive, fixed-rate mortgage structure**\n", - " * **Fixed costs to adjust long-term assets**\n", - " * **housing and fixed-rate mortgage**" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "# Household's maximization problem\n", - "\n", - "* **Each period households choose**\n", - " * **1. rent**\n", - " * **2. continue owning a house & not adjust existing mortgage**\n", - " * **3. adjust mortgage and housing stock**\n", - "* **Conditional on the adjustment, households choose**\n", - " * **non-durable consumption, savings in bonds and mortgage debt**\n", - "
\n", - "\n", - " \n", - "\\begin{aligned}V_{j a t}\\left(z_{j a t}\\right)=\\max \\left\\{V_{j a t}\\left(z_{j a t}\\right)^{\\mathrm{rent}}, V_{j a t}\\left(z_{j a t}\\right)^{\\mathrm{own} \\& \\text { no-adjust }}, V_{j a t}\\left(z_{j a t}\\right)^{\\text {own } \\& \\text { adjust }}\\right\\}\\end{aligned} \n", - " \n", - " \n", - "\n", - "\n", - " \n", - " \\begin{aligned}\n", - "z_{j a t}=\\left\\{S_{t}, y_{j a t}, \\operatorname{assets}_{j, a-1, t-1}\\right\\}\n", - "\\end{aligned} \n", - " \n", - " \n", - "\n", - "* **$S_t$ - uncertainty from aggregate state variables**\n", - "* **$y_{j a t}$ - uncertainty from idiosyncratic labor income**" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "subslide" - } - }, - "source": [ - "# 1. Rent Case\n", - "\n", - "\n", - " \n", - "\\begin{aligned}V_{j a t}\\left(z_{j a t}\\right)^{\\mathrm{rent}}=\\max _{c_{j a t}, h_{j a t}^{\\mathrm{rat}}, s_{j a t}} \\frac{\\left(c_{j a t}^{\\alpha} \\cdot h_{j a t}^{1-\\alpha}\\right)^{1-\\sigma}-1}{1-\\sigma}+E_{j a t}\\left[V_{j, a+1, t+1}\\left(z_{j, a+1, t+1}\\right)\\right]\\end{aligned} \n", - " \n", - " \n", - "\n", - "\n", - " \n", - " \\begin{aligned} s.t. h_{j a t} &=h_{j a t}^{\\text {rent }} \\\\ c_{j a t}+s_{j a t}+p_{t}^{r} h_{j a t}^{\\text {rent }} &=y_{j a t}+(1-\\delta) p_{t} h_{j, a-1, t-1}^{\\text {own }}+\\left(1+r_{t}\\right) s_{j, a-1, t-1}-b_{j, a-1, t-1}\\left(1+R_{j, a-1, t-1}\\right) \\\\ h_{j a t}^{\\text {own }} &=b_{j a t}=0 \\\\ s_{j a t} & \\geq-\\underline{s} \\\\ \\log \\left(y_{j a t}\\right) &=\\chi_{a}+\\eta_{j a t}+\\phi_{a}\\left(y_{t} / y\\right) \\\\ S_{t} &=A_{0}+A_{1} S_{t-1}+u_{t} \\end{aligned}\n", - " \n", - " " - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "subslide" - } - }, - "source": [ - "# 2. Own & No-adjust Case\n", - "\n", - "\n", - " \n", - "\\begin{aligned}V_{j a t}\\left(z_{j a t}\\right)^{\\text {own \\& no-adjust }}=\\max _{c_{j a t}, s_{j a t}} \\frac{\\left(c_{j a t}^{\\alpha} \\cdot h_{j a t}^{1-\\alpha}\\right)^{1-\\sigma}-1}{1-\\sigma}+E_{j a t}\\left[V_{j, a+1, t+1}\\left(z_{j, a+1, t+1}\\right)\\right]\\end{aligned} \n", - " \n", - " \n", - "\n", - "\n", - " \n", - " \\begin{aligned} s.t. h_{j a t} &=(1-\\delta) h_{j, a, t-1}^{\\mathrm{own}} \\\\ c_{j a t}+s_{j a t} &=y_{j a t}+\\left(1+r_{t}\\right) s_{j, a-1, t-1}-M_{j a t} \\\\ s_{j a t} & \\geq-\\underline{s} \\\\ \\log \\left(y_{j a t}\\right) &=\\chi_{a}+\\eta_{j a t}+\\phi_{a}\\left(y_{t} / y\\right) \\\\ S_{t} &=A_{0}+A_{1} S_{t-1}+u_{t} \\end{aligned}\n", - " \n", - " " - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "subslide" - } - }, - "source": [ - "# 3. Own & Adjust Case\n", - "\n", - "\n", - " \n", - "\\begin{aligned}V_{j a t}\\left(z_{j a t}\\right)^{\\text {own \\& adjust }}=\\max _{c_{j a t}, s_{j a t}, h_{j a t}^{\\text {own }}, b_{j a t}} \\frac{\\left(c_{j a t}^{\\alpha} \\cdot h_{j a t}^{1-\\alpha}\\right)^{1-\\sigma}-1}{1-\\sigma}+E_{j a t}\\left[V_{j, a+1, t+1}\\left(z_{j, a+1, t+1}\\right)\\right] \\end{aligned} \n", - " \n", - " \n", - "\n", - "\n", - " \n", - " \\begin{aligned} s.t. h_{j a t} &=h_{j, a}^{\\mathrm{own}} \\\\ b_{j a t} & \\leq(1-\\phi) p_{t} h_{j a t}^{\\mathrm{own}} \\\\ c_{j a t}+s_{j a t}+p_{t} h_{j a t}^{\\mathrm{own}}-b_{j a t}-F &=y_{j a t}+(1-\\delta) p_{t} h_{j, a-1, t-1}^{\\mathrm{own}}+\\left(1+r_{t}\\right) s_{j, a-1, t-1}-b_{j, a-1, t-1}\\left(1+R_{j, a-1, t-1}\\right) \\\\ s_{j a t} & \\geq-\\underline{s} \\\\ \\log \\left(y_{j a t}\\right) &=\\chi_{a}+\\eta_{j a t}+\\phi_{a}\\left(y_{t} / y\\right) \\\\ S_{t} &=A_{0}+A_{1} S_{t-1}+u_{t} \\end{aligned} \n", - " \n", - " " - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "subslide" - } - }, - "source": [ - "# Retirement and Death\n", - "\n", - "* **Upon death, agent bequasts total new wealth:**\n", - "\n", - "\n", - " \n", - "\\begin{aligned}W_{j a t}=(1-\\delta) p_{t} h_{j, a-1, t-1}^{\\mathrm{own}}+\\left(1+r_{t}\\right) s_{j, a-1, t-1}\n", - " \\end{aligned} \n", - " \n", - " " - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "# Results\n", - "\n", - "* **The refinancing and new lending channel** \n", - " * **the difference in the consumption responses of the young-old to interest rate shocks**\n", - "* **Aging population can significantly dampen the transmission of monetary policy** " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Subsequent Literature and Research Directions\n", - "\n", - "The literature following Wong (2016) has developed several themes that deepen and extend the paper's insights about aging, housing, and monetary policy.\n", - "\n", - "## The Refinancing Channel as a Core Mechanism\n", - "\n", - "A first strand has focused on mortgage refinancing as a central channel through which monetary policy affects household consumption. Di Maggio et al. (2017), Abel and Fuster (2021), and Amromin, Bhutta, and Keys (2020), among others, provided additional empirical evidence on the magnitude and distribution of refinancing-induced consumption responses.\n", - "\n", - "Eichenbaum, Rebelo, and Wong (2022) build directly on Wong (2016) by emphasizing the *state-dependent* nature of the refinancing channel. Monetary policy is most powerful when many households hold mortgages at rates above current market rates, so that rate cuts trigger widespread refinancing; once most households have already refinanced, further cuts have much weaker effects. This state dependence implies that the effectiveness of policy depends on the history of interest rates and past refinancing activity.\n", - "\n", - "## Heterogeneous-Agent New Keynesian (HANK) Models\n", - "\n", - "A second strand is the development of heterogeneous-agent New Keynesian (HANK) models, as in Kaplan, Moll, and Violante (2016). These models show that allowing for rich household heterogeneity— in income, wealth, and balance-sheet positions—can produce very different predictions for monetary transmission than representative-agent models. Wong's emphasis on age as an important dimension of heterogeneity complements this literature by highlighting demographic structure as a key state variable for policy analysis.\n", - "\n", - "## Regional and Path-Dependent Heterogeneity\n", - "\n", - "A third strand studies how the strength of the refinancing channel varies across space and over time. Beraja, Fuster, Hurst, and Vavra (2019) show that regional differences in housing equity and mortgage positions generate large cross-sectional heterogeneity in the impact of monetary policy: households in regions with low or negative home equity are often unable to refinance, even when rates fall. Berger, Milbradt, Tourre, and Vavra (2021) develop a structural framework in which the distribution of mortgage rates is shaped by the history of interest rates, generating path dependence in policy effectiveness.\n", - "\n", - "## Housing Market Design and Distributional Consequences\n", - "\n", - "A fourth strand examines how the institutional design of mortgage markets shapes monetary transmission. Guren, Krishnamurthy, and McQuade (2018) and Greenwald (2016) study how contract terms—such as fixed versus adjustable rates, prepayment options, and down payment requirements—affect both the strength and distribution of policy effects. This connects directly to policy debates about the optimal design of mortgage markets in aging societies.\n", - "\n", - "Finally, work by Coibion et al. (2017) and a broader literature on monetary policy and inequality emphasizes the distributional consequences of monetary policy. Together with Wong (2016), this research suggests that understanding who is exposed to interest-rate changes—by age, wealth, and housing tenure—is critical for evaluating both the effectiveness and the equity implications of monetary policy." - ] + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" } - ], - "metadata": { - "celltoolbar": "Slideshow", - "kernelspec": { - "display_name": ".venv-linux-x86_64", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.3" + }, + "source": [ + "

Paper 2: \"Population Aging and the Transmission of Monetary Policy to Consumption\"
\n", + "

\n", + "
Arlene Wond (2015)
\n", + "

\n", + "
Nino Kodua
\n", + "

\n", + "
Johns Hopkins University
\n", + "

\n", + "
February 16, 2020
" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "# Overview\n", + "\n", + "* **Research Question: What are the effects of demographic changes on the transmission of monetary policy to consumption?**\n", + "* **Part I: Empirical estimate**\n", + " * **Age-specific consumption elasticities to interest rate**\n", + " * **Consumption of young people is two-three times more responsive to interest rate shocks**\n", + " * **Consumption elasticities decline with age**\n", + " * **Consumption response driven by homeowners**\n", + " * **refinance or new loans following interest rate decline**\n", + "* **Part II: Life-cycle model - partial equilibrium overlapping generations economy**\n", + " * **Uninsurable labor income risk, life-cycle saving motive, fixed-rate mortgage structure**\n", + " * **Fixed costs to adjust long-term assets**\n", + " * **housing and fixed-rate mortgage**" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "# Household's maximization problem\n", + "\n", + "* **Each period households choose**\n", + " * **1. rent**\n", + " * **2. continue owning a house & not adjust existing mortgage**\n", + " * **3. adjust mortgage and housing stock**\n", + "* **Conditional on the adjustment, households choose**\n", + " * **non-durable consumption, savings in bonds and mortgage debt**\n", + "
\n", + "\n", + " \n", + "\\begin{aligned}V_{j a t}\\left(z_{j a t}\\right)=\\max \\left\\{V_{j a t}\\left(z_{j a t}\\right)^{\\mathrm{rent}}, V_{j a t}\\left(z_{j a t}\\right)^{\\mathrm{own} \\& \\text { no-adjust }}, V_{j a t}\\left(z_{j a t}\\right)^{\\text {own } \\& \\text { adjust }}\\right\\}\\end{aligned} \n", + " \n", + " \n", + "\n", + "\n", + " \n", + " \\begin{aligned}\n", + "z_{j a t}=\\left\\{S_{t}, y_{j a t}, \\operatorname{assets}_{j, a-1, t-1}\\right\\}\n", + "\\end{aligned} \n", + " \n", + " \n", + "\n", + "* **$S_t$ - uncertainty from aggregate state variables**\n", + "* **$y_{j a t}$ - uncertainty from idiosyncratic labor income**" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "# 1. Rent Case\n", + "\n", + "\n", + " \n", + "\\begin{aligned}V_{j a t}\\left(z_{j a t}\\right)^{\\mathrm{rent}}=\\max _{c_{j a t}, h_{j a t}^{\\mathrm{rat}}, s_{j a t}} \\frac{\\left(c_{j a t}^{\\alpha} \\cdot h_{j a t}^{1-\\alpha}\\right)^{1-\\sigma}-1}{1-\\sigma}+E_{j a t}\\left[V_{j, a+1, t+1}\\left(z_{j, a+1, t+1}\\right)\\right]\\end{aligned} \n", + " \n", + " \n", + "\n", + "\n", + " \n", + " \\begin{aligned} s.t. h_{j a t} &=h_{j a t}^{\\text {rent }} \\\\ c_{j a t}+s_{j a t}+p_{t}^{r} h_{j a t}^{\\text {rent }} &=y_{j a t}+(1-\\delta) p_{t} h_{j, a-1, t-1}^{\\text {own }}+\\left(1+r_{t}\\right) s_{j, a-1, t-1}-b_{j, a-1, t-1}\\left(1+R_{j, a-1, t-1}\\right) \\\\ h_{j a t}^{\\text {own }} &=b_{j a t}=0 \\\\ s_{j a t} & \\geq-\\underline{s} \\\\ \\log \\left(y_{j a t}\\right) &=\\chi_{a}+\\eta_{j a t}+\\phi_{a}\\left(y_{t} / y\\right) \\\\ S_{t} &=A_{0}+A_{1} S_{t-1}+u_{t} \\end{aligned}\n", + " \n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "# 2. Own & No-adjust Case\n", + "\n", + "\n", + " \n", + "\\begin{aligned}V_{j a t}\\left(z_{j a t}\\right)^{\\text {own \\& no-adjust }}=\\max _{c_{j a t}, s_{j a t}} \\frac{\\left(c_{j a t}^{\\alpha} \\cdot h_{j a t}^{1-\\alpha}\\right)^{1-\\sigma}-1}{1-\\sigma}+E_{j a t}\\left[V_{j, a+1, t+1}\\left(z_{j, a+1, t+1}\\right)\\right]\\end{aligned} \n", + " \n", + " \n", + "\n", + "\n", + " \n", + " \\begin{aligned} s.t. h_{j a t} &=(1-\\delta) h_{j, a, t-1}^{\\mathrm{own}} \\\\ c_{j a t}+s_{j a t} &=y_{j a t}+\\left(1+r_{t}\\right) s_{j, a-1, t-1}-M_{j a t} \\\\ s_{j a t} & \\geq-\\underline{s} \\\\ \\log \\left(y_{j a t}\\right) &=\\chi_{a}+\\eta_{j a t}+\\phi_{a}\\left(y_{t} / y\\right) \\\\ S_{t} &=A_{0}+A_{1} S_{t-1}+u_{t} \\end{aligned}\n", + " \n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "# 3. Own & Adjust Case\n", + "\n", + "\n", + " \n", + "\\begin{aligned}V_{j a t}\\left(z_{j a t}\\right)^{\\text {own \\& adjust }}=\\max _{c_{j a t}, s_{j a t}, h_{j a t}^{\\text {own }}, b_{j a t}} \\frac{\\left(c_{j a t}^{\\alpha} \\cdot h_{j a t}^{1-\\alpha}\\right)^{1-\\sigma}-1}{1-\\sigma}+E_{j a t}\\left[V_{j, a+1, t+1}\\left(z_{j, a+1, t+1}\\right)\\right] \\end{aligned} \n", + " \n", + " \n", + "\n", + "\n", + " \n", + " \\begin{aligned} s.t. h_{j a t} &=h_{j, a}^{\\mathrm{own}} \\\\ b_{j a t} & \\leq(1-\\phi) p_{t} h_{j a t}^{\\mathrm{own}} \\\\ c_{j a t}+s_{j a t}+p_{t} h_{j a t}^{\\mathrm{own}}-b_{j a t}-F &=y_{j a t}+(1-\\delta) p_{t} h_{j, a-1, t-1}^{\\mathrm{own}}+\\left(1+r_{t}\\right) s_{j, a-1, t-1}-b_{j, a-1, t-1}\\left(1+R_{j, a-1, t-1}\\right) \\\\ s_{j a t} & \\geq-\\underline{s} \\\\ \\log \\left(y_{j a t}\\right) &=\\chi_{a}+\\eta_{j a t}+\\phi_{a}\\left(y_{t} / y\\right) \\\\ S_{t} &=A_{0}+A_{1} S_{t-1}+u_{t} \\end{aligned} \n", + " \n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "# Retirement and Death\n", + "\n", + "* **Upon death, agent bequasts total new wealth:**\n", + "\n", + "\n", + " \n", + "\\begin{aligned}W_{j a t}=(1-\\delta) p_{t} h_{j, a-1, t-1}^{\\mathrm{own}}+\\left(1+r_{t}\\right) s_{j, a-1, t-1}\n", + " \\end{aligned} \n", + " \n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" } + }, + "source": [ + "# Results\n", + "\n", + "* **The refinancing and new lending channel** \n", + " * **the difference in the consumption responses of the young-old to interest rate shocks**\n", + "* **Aging population can significantly dampen the transmission of monetary policy** " + ] + } + ], + "metadata": { + "celltoolbar": "Slideshow", + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" }, - "nbformat": 4, - "nbformat_minor": 2 + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.3" + } + }, + "nbformat": 4, + "nbformat_minor": 2 } diff --git a/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/PopAgingMPtransmission.md b/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/PopAgingMPtransmission.md new file mode 100644 index 00000000..4bc4d56e --- /dev/null +++ b/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/PopAgingMPtransmission.md @@ -0,0 +1,137 @@ +--- +jupytext: + text_representation: + extension: .md + format_name: myst + format_version: 0.13 + jupytext_version: 1.19.1 +kernelspec: + display_name: Python 3 + language: python + name: python3 +--- + ++++ {"slideshow": {"slide_type": "slide"}} + +

Paper 2: "Population Aging and the Transmission of Monetary Policy to Consumption"
+

+
Arlene Wond (2015)
 +

+
Nino Kodua
+

+
Johns Hopkins University
+

+
February 16, 2020
+ ++++ {"slideshow": {"slide_type": "slide"}} + +# Overview + +* **Research Question: What are the effects of demographic changes on the transmission of monetary policy to consumption?** +* **Part I: Empirical estimate** + * **Age-specific consumption elasticities to interest rate** + * **Consumption of young people is two-three times more responsive to interest rate shocks** + * **Consumption elasticities decline with age** + * **Consumption response driven by homeowners** + * **refinance or new loans following interest rate decline** +* **Part II: Life-cycle model - partial equilibrium overlapping generations economy** + * **Uninsurable labor income risk, life-cycle saving motive, fixed-rate mortgage structure** + * **Fixed costs to adjust long-term assets** + * **housing and fixed-rate mortgage** + ++++ {"slideshow": {"slide_type": "slide"}} + +# Household's maximization problem + +* **Each period households choose** + * **1. rent** + * **2. continue owning a house & not adjust existing mortgage** + * **3. adjust mortgage and housing stock** +* **Conditional on the adjustment, households choose** + * **non-durable consumption, savings in bonds and mortgage debt** +
+ + +\begin{aligned}V_{j a t}\left(z_{j a t}\right)=\max \left\{V_{j a t}\left(z_{j a t}\right)^{\mathrm{rent}}, V_{j a t}\left(z_{j a t}\right)^{\mathrm{own} \& \text { no-adjust }}, V_{j a t}\left(z_{j a t}\right)^{\text {own } \& \text { adjust }}\right\}\end{aligned} + + + + + + \begin{aligned} +z_{j a t}=\left\{S_{t}, y_{j a t}, \operatorname{assets}_{j, a-1, t-1}\right\} +\end{aligned} + + + +* **$S_t$ - uncertainty from aggregate state variables** +* **$y_{j a t}$ - uncertainty from idiosyncratic labor income** + ++++ {"slideshow": {"slide_type": "subslide"}} + +# 1. Rent Case + + + +\begin{aligned}V_{j a t}\left(z_{j a t}\right)^{\mathrm{rent}}=\max _{c_{j a t}, h_{j a t}^{\mathrm{rat}}, s_{j a t}} \frac{\left(c_{j a t}^{\alpha} \cdot h_{j a t}^{1-\alpha}\right)^{1-\sigma}-1}{1-\sigma}+E_{j a t}\left[V_{j, a+1, t+1}\left(z_{j, a+1, t+1}\right)\right]\end{aligned} + + + + + + \begin{aligned} s.t. h_{j a t} &=h_{j a t}^{\text {rent }} \\ c_{j a t}+s_{j a t}+p_{t}^{r} h_{j a t}^{\text {rent }} &=y_{j a t}+(1-\delta) p_{t} h_{j, a-1, t-1}^{\text {own }}+\left(1+r_{t}\right) s_{j, a-1, t-1}-b_{j, a-1, t-1}\left(1+R_{j, a-1, t-1}\right) \\ h_{j a t}^{\text {own }} &=b_{j a t}=0 \\ s_{j a t} & \geq-\underline{s} \\ \log \left(y_{j a t}\right) &=\chi_{a}+\eta_{j a t}+\phi_{a}\left(y_{t} / y\right) \\ S_{t} &=A_{0}+A_{1} S_{t-1}+u_{t} \end{aligned} + + + ++++ {"slideshow": {"slide_type": "subslide"}} + +# 2. Own & No-adjust Case + + + +\begin{aligned}V_{j a t}\left(z_{j a t}\right)^{\text {own \& no-adjust }}=\max _{c_{j a t}, s_{j a t}} \frac{\left(c_{j a t}^{\alpha} \cdot h_{j a t}^{1-\alpha}\right)^{1-\sigma}-1}{1-\sigma}+E_{j a t}\left[V_{j, a+1, t+1}\left(z_{j, a+1, t+1}\right)\right]\end{aligned} + + + + + + \begin{aligned} s.t. h_{j a t} &=(1-\delta) h_{j, a, t-1}^{\mathrm{own}} \\ c_{j a t}+s_{j a t} &=y_{j a t}+\left(1+r_{t}\right) s_{j, a-1, t-1}-M_{j a t} \\ s_{j a t} & \geq-\underline{s} \\ \log \left(y_{j a t}\right) &=\chi_{a}+\eta_{j a t}+\phi_{a}\left(y_{t} / y\right) \\ S_{t} &=A_{0}+A_{1} S_{t-1}+u_{t} \end{aligned} + + + ++++ {"slideshow": {"slide_type": "subslide"}} + +# 3. Own & Adjust Case + + + +\begin{aligned}V_{j a t}\left(z_{j a t}\right)^{\text {own \& adjust }}=\max _{c_{j a t}, s_{j a t}, h_{j a t}^{\text {own }}, b_{j a t}} \frac{\left(c_{j a t}^{\alpha} \cdot h_{j a t}^{1-\alpha}\right)^{1-\sigma}-1}{1-\sigma}+E_{j a t}\left[V_{j, a+1, t+1}\left(z_{j, a+1, t+1}\right)\right] \end{aligned} + + + + + + \begin{aligned} s.t. h_{j a t} &=h_{j, a}^{\mathrm{own}} \\ b_{j a t} & \leq(1-\phi) p_{t} h_{j a t}^{\mathrm{own}} \\ c_{j a t}+s_{j a t}+p_{t} h_{j a t}^{\mathrm{own}}-b_{j a t}-F &=y_{j a t}+(1-\delta) p_{t} h_{j, a-1, t-1}^{\mathrm{own}}+\left(1+r_{t}\right) s_{j, a-1, t-1}-b_{j, a-1, t-1}\left(1+R_{j, a-1, t-1}\right) \\ s_{j a t} & \geq-\underline{s} \\ \log \left(y_{j a t}\right) &=\chi_{a}+\eta_{j a t}+\phi_{a}\left(y_{t} / y\right) \\ S_{t} &=A_{0}+A_{1} S_{t-1}+u_{t} \end{aligned} + + + ++++ {"slideshow": {"slide_type": "subslide"}} + +# Retirement and Death + +* **Upon death, agent bequasts total new wealth:** + + + +\begin{aligned}W_{j a t}=(1-\delta) p_{t} h_{j, a-1, t-1}^{\mathrm{own}}+\left(1+r_{t}\right) s_{j, a-1, t-1} + \end{aligned} + + + ++++ {"slideshow": {"slide_type": "slide"}} + +# Results + +* **The refinancing and new lending channel** + * **the difference in the consumption responses of the young-old to interest rate shocks** +* **Aging population can significantly dampen the transmission of monetary policy** diff --git a/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/PopAgingMPtransmission_summary.ipynb b/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/PopAgingMPtransmission_summary.ipynb new file mode 100644 index 00000000..f8389b34 --- /dev/null +++ b/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/PopAgingMPtransmission_summary.ipynb @@ -0,0 +1,207 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "

Paper 2: \"Population Aging and the Transmission of Monetary Policy to Consumption\"
\n", + "

\n", + "
Arlene Wond (2015)
\n", + "

\n", + "
Nino Kodua
\n", + "

\n", + "
Johns Hopkins University
\n", + "

\n", + "
February 16, 2020
" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "# Overview\n", + "\n", + "* **Research Question: What are the effects of demographic changes on the transmission of monetary policy to consumption?**\n", + "* **Part I: Empirical estimate**\n", + " * **Age-specific consumption elasticities to interest rate**\n", + " * **Consumption of young people is two-three times more responsive to interest rate shocks**\n", + " * **Consumption elasticities decline with age**\n", + " * **Consumption response driven by homeowners**\n", + " * **refinance or new loans following interest rate decline**\n", + "* **Part II: Life-cycle model - partial equilibrium overlapping generations economy**\n", + " * **Uninsurable labor income risk, life-cycle saving motive, fixed-rate mortgage structure**\n", + " * **Fixed costs to adjust long-term assets**\n", + " * **housing and fixed-rate mortgage**" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "# Household's maximization problem\n", + "\n", + "* **Each period households choose**\n", + " * **1. rent**\n", + " * **2. continue owning a house & not adjust existing mortgage**\n", + " * **3. adjust mortgage and housing stock**\n", + "* **Conditional on the adjustment, households choose**\n", + " * **non-durable consumption, savings in bonds and mortgage debt**\n", + "
\n", + "\n", + " \n", + "\\begin{aligned}V_{j a t}\\left(z_{j a t}\\right)=\\max \\left\\{V_{j a t}\\left(z_{j a t}\\right)^{\\mathrm{rent}}, V_{j a t}\\left(z_{j a t}\\right)^{\\mathrm{own} \\& \\text { no-adjust }}, V_{j a t}\\left(z_{j a t}\\right)^{\\text {own } \\& \\text { adjust }}\\right\\}\\end{aligned} \n", + " \n", + " \n", + "\n", + "\n", + " \n", + " \\begin{aligned}\n", + "z_{j a t}=\\left\\{S_{t}, y_{j a t}, \\operatorname{assets}_{j, a-1, t-1}\\right\\}\n", + "\\end{aligned} \n", + " \n", + " \n", + "\n", + "* **$S_t$ - uncertainty from aggregate state variables**\n", + "* **$y_{j a t}$ - uncertainty from idiosyncratic labor income**" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "# 1. Rent Case\n", + "\n", + "\n", + " \n", + "\\begin{aligned}V_{j a t}\\left(z_{j a t}\\right)^{\\mathrm{rent}}=\\max _{c_{j a t}, h_{j a t}^{\\mathrm{rat}}, s_{j a t}} \\frac{\\left(c_{j a t}^{\\alpha} \\cdot h_{j a t}^{1-\\alpha}\\right)^{1-\\sigma}-1}{1-\\sigma}+E_{j a t}\\left[V_{j, a+1, t+1}\\left(z_{j, a+1, t+1}\\right)\\right]\\end{aligned} \n", + " \n", + " \n", + "\n", + "\n", + " \n", + " \\begin{aligned} s.t. h_{j a t} &=h_{j a t}^{\\text {rent }} \\\\ c_{j a t}+s_{j a t}+p_{t}^{r} h_{j a t}^{\\text {rent }} &=y_{j a t}+(1-\\delta) p_{t} h_{j, a-1, t-1}^{\\text {own }}+\\left(1+r_{t}\\right) s_{j, a-1, t-1}-b_{j, a-1, t-1}\\left(1+R_{j, a-1, t-1}\\right) \\\\ h_{j a t}^{\\text {own }} &=b_{j a t}=0 \\\\ s_{j a t} & \\geq-\\underline{s} \\\\ \\log \\left(y_{j a t}\\right) &=\\chi_{a}+\\eta_{j a t}+\\phi_{a}\\left(y_{t} / y\\right) \\\\ S_{t} &=A_{0}+A_{1} S_{t-1}+u_{t} \\end{aligned}\n", + " \n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "# 2. Own & No-adjust Case\n", + "\n", + "\n", + " \n", + "\\begin{aligned}V_{j a t}\\left(z_{j a t}\\right)^{\\text {own \\& no-adjust }}=\\max _{c_{j a t}, s_{j a t}} \\frac{\\left(c_{j a t}^{\\alpha} \\cdot h_{j a t}^{1-\\alpha}\\right)^{1-\\sigma}-1}{1-\\sigma}+E_{j a t}\\left[V_{j, a+1, t+1}\\left(z_{j, a+1, t+1}\\right)\\right]\\end{aligned} \n", + " \n", + " \n", + "\n", + "\n", + " \n", + " \\begin{aligned} s.t. h_{j a t} &=(1-\\delta) h_{j, a, t-1}^{\\mathrm{own}} \\\\ c_{j a t}+s_{j a t} &=y_{j a t}+\\left(1+r_{t}\\right) s_{j, a-1, t-1}-M_{j a t} \\\\ s_{j a t} & \\geq-\\underline{s} \\\\ \\log \\left(y_{j a t}\\right) &=\\chi_{a}+\\eta_{j a t}+\\phi_{a}\\left(y_{t} / y\\right) \\\\ S_{t} &=A_{0}+A_{1} S_{t-1}+u_{t} \\end{aligned}\n", + " \n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "# 3. Own & Adjust Case\n", + "\n", + "\n", + " \n", + "\\begin{aligned}V_{j a t}\\left(z_{j a t}\\right)^{\\text {own \\& adjust }}=\\max _{c_{j a t}, s_{j a t}, h_{j a t}^{\\text {own }}, b_{j a t}} \\frac{\\left(c_{j a t}^{\\alpha} \\cdot h_{j a t}^{1-\\alpha}\\right)^{1-\\sigma}-1}{1-\\sigma}+E_{j a t}\\left[V_{j, a+1, t+1}\\left(z_{j, a+1, t+1}\\right)\\right] \\end{aligned} \n", + " \n", + " \n", + "\n", + "\n", + " \n", + " \\begin{aligned} s.t. h_{j a t} &=h_{j, a}^{\\mathrm{own}} \\\\ b_{j a t} & \\leq(1-\\phi) p_{t} h_{j a t}^{\\mathrm{own}} \\\\ c_{j a t}+s_{j a t}+p_{t} h_{j a t}^{\\mathrm{own}}-b_{j a t}-F &=y_{j a t}+(1-\\delta) p_{t} h_{j, a-1, t-1}^{\\mathrm{own}}+\\left(1+r_{t}\\right) s_{j, a-1, t-1}-b_{j, a-1, t-1}\\left(1+R_{j, a-1, t-1}\\right) \\\\ s_{j a t} & \\geq-\\underline{s} \\\\ \\log \\left(y_{j a t}\\right) &=\\chi_{a}+\\eta_{j a t}+\\phi_{a}\\left(y_{t} / y\\right) \\\\ S_{t} &=A_{0}+A_{1} S_{t-1}+u_{t} \\end{aligned} \n", + " \n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "# Retirement and Death\n", + "\n", + "* **Upon death, agent bequasts total new wealth:**\n", + "\n", + "\n", + " \n", + "\\begin{aligned}W_{j a t}=(1-\\delta) p_{t} h_{j, a-1, t-1}^{\\mathrm{own}}+\\left(1+r_{t}\\right) s_{j, a-1, t-1}\n", + " \\end{aligned} \n", + " \n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "# Results\n", + "\n", + "* **The refinancing and new lending channel** \n", + " * **the difference in the consumption responses of the young-old to interest rate shocks**\n", + "* **Aging population can significantly dampen the transmission of monetary policy** " + ] + } + ], + "metadata": { + "celltoolbar": "Slideshow", + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.3" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/bibliography.bib b/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/bibliography.bib new file mode 100755 index 00000000..eb55a3de --- /dev/null +++ b/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/bibliography.bib @@ -0,0 +1,1405 @@ +@ARTICLE{Krueger2002-bd, + title = "Does Income Inequality Lead to Consumption Inequality", + author = "Krueger, Dirk and Perri, Fabrizio", + journal = "Res. Pap. Econ. Fin.", + year = 2002 +} + +@ARTICLE{Sack2002-wq, + title = "The impact of monetary policy on asset prices", + author = "Sack, Brian P and Rigobon, Roberto", + journal = "SSRN Electron. J.", + publisher = "Elsevier BV", + year = 2002, + language = "en" +} + +@ARTICLE{Mitman2015-cq, + title = "Consumption and House Prices in the Great Recession: Model Meets + Evidence", + author = "Mitman, Kurt and Violante, Gianluca and Kaplan, Greg", + journal = "Res. Pap. Econ. Fin.", + year = 2015 +} + +@ARTICLE{Doepke2008-re, + title = "Financial Valuation and Risk Management Working Paper No . 448 + Inflation as a Redistribution Shock : Effects on Aggregates and + Welfare", + author = "Doepke, Matthias and Schneider, Martin", + year = 2008 +} + +@INCOLLECTION{Mussa2003-sq, + title = "Asset prices and monetary policy", + author = "Mussa, Michael", + booktitle = "Asset Price Bubbles", + publisher = "The MIT Press", + pages = "41--50", + month = jan, + year = 2003 +} + +@ARTICLE{Juselius2015-qy, + title = "Can demography affect inflation and monetary policy?", + author = "Juselius, M and Takáts, E", + journal = "ERN: Monetary Policy (Topic)", + month = feb, + year = 2015 +} + +@ARTICLE{Steinsson2014-wk, + title = "High frequency identification of monetary non-neutrality", + author = "Steinsson, Jon and Nakamura, Emi", + journal = "2014 Meeting Papers", + year = 2014 +} + +@ARTICLE{Evans2012-os, + title = "Macroeconomic Eects of {FOMC} Forward Guidance", + author = "Evans, Charles L and Justiniano, Alejandro", + year = 2012 +} + +@TECHREPORT{Agarwal2015-nn, + title = "Mortgage refinancing, consumer spending, and competition: + Evidence from the home affordable refinancing program", + author = "Agarwal, Sumit and Amromin, Gene and Chomsisengphet, Souphala + and Landvoigt, Tim and Piskorski, Tomasz and Seru, Amit and + Yao, Vincent", + publisher = "National Bureau of Economic Research", + institution = "National Bureau of Economic Research", + address = "Cambridge, MA", + month = aug, + year = 2015 +} + +@TECHREPORT{Krueger2002-sk, + title = "Does income inequality lead to consumption inequality? Evidence + and theory", + author = "Krueger, Dirk and Perri, Fabrizio", + publisher = "National Bureau of Economic Research", + institution = "National Bureau of Economic Research", + address = "Cambridge, MA", + month = sep, + year = 2002 +} + +@ARTICLE{Antonia2011-by, + title = "The user cost, home ownership and housing prices: Theory and + evidence from the {US} Article prepared for the International + Encyclopedia of Housing and Home by Elsevier, Section: + Economics/Finance", + author = "Antonia, D", + year = 2011 +} + +@ARTICLE{Gilchrist2014-zo, + title = "{NBER} {WORKING} {PAPER} {SERIES} {MONETARY} {POLICY} {AND} {REAL} + {BORROWING} {COSTS} {AT} {THE} {ZERO} {LOWER} {BOUND}", + author = "Gilchrist, Simon and López-Salido, D", + year = 2014 +} + +@ARTICLE{AmirUnknown-fa, + title = "Mit Sloan School of Management Mit Sloan School Working Paper + 4750-09 Systemic Risk and the Refinancing Ratchet Effect Systemic + Risk and the Refinancing Ratchet Effect *", + author = "{Amir} and Khandani, E and Lo, Andrew W and Merton, R C and + Khandani, A and Belton, Terry and Bhansali, V and Crum, Conan C and + Cummings, Jayna and Eikeboom, Arnout and Geltner, David and + Goetzmann, Will and Goldfield, Jacob and Golub, Ben and Jozoff, Matt + and Kennedy, Jim and Mian, Atif R and Sufi, Amir and Wheaton, Bill" +} + +@ARTICLE{Ho2013-wn, + title = "Insurer Competition and Negotiated Hospital Prices", + author = "Ho, Katherine and Lee, Robin S", + year = 2013 +} + +@TECHREPORT{Mian2014-wp, + title = "House price gains and {U}.s. household spending from 2002 to + 2006", + author = "Mian, Atif and Sufi, Amir", + publisher = "National Bureau of Economic Research", + institution = "National Bureau of Economic Research", + address = "Cambridge, MA", + month = may, + year = 2014 +} + +@ARTICLE{Doepke2015-ts, + title = "Distributional effects of monetary policy", + author = "Doepke, Matthias and Schneider, Martin and Selezneva, V", + journal = "2015 Meeting Papers", + year = 2015 +} + +@ARTICLE{Ramcharan2015-cf, + title = "Monetary Policy Pass-Through: Household Consumption and Voluntary + Deleveraging", + author = "Ramcharan, Rodney and Kermani, Amir and Maggio, Marco Di", + journal = "2015 Meeting Papers", + year = 2015 +} + +@TECHREPORT{Auerbach1984-qt, + title = "Simulating alternative social security responses to the + demographic transition", + author = "Auerbach, Alan and Kotlikoff, Laurence", + publisher = "National Bureau of Economic Research", + institution = "National Bureau of Economic Research", + address = "Cambridge, MA", + month = mar, + year = 1984 +} + +@ARTICLE{Wong2016-ud, + title = "Population aging and the transmission of monetary policy to + consumption", + author = "Wong, Arlene", + journal = "Res. Pap. Econ. Fin.", + year = 2016 +} + +@ARTICLE{Coibion2015-jb, + title = "The cyclicality of sales, regular and effective prices: Business + cycle and policy implications", + author = "Coibion, Olivier and Gorodnichenko, Yuriy and Hong, Gee Hee", + journal = "Am. Econ. Rev.", + publisher = "American Economic Association", + volume = 105, + number = 3, + pages = "993--1029", + abstract = "We study the cyclical properties of sales, regular price changes, + and average prices paid by consumers (“effective” prices) using + data on prices and quantities sold for numerous retailers across + many US metropolitan areas. Inflation in the effective prices + paid by consumers declines significantly with higher unemployment + while little change occurs in the inflation rate of prices posted + by retailers. This difference reflects the reallocation of + household expenditures across retailers, a feature of the data + which we document and quantify, rather than sales. We propose a + simple model with household store-switching and assess its + implications for business cycles and policymakers. (JEL D12, E31, + E32, L25, L81)", + month = mar, + year = 2015, + language = "en" +} + +@ARTICLE{Cloyne2020-ih, + title = "Monetary Policy when Households have Debt: New Evidence on the + Transmission Mechanism", + author = "Cloyne, James and Ferreira, Clodomiro and Surico, Paolo", + journal = "Rev. Econ. Stud.", + publisher = "Oxford University Press (OUP)", + volume = 87, + number = 1, + pages = "102--129", + abstract = "Abstract Using household survey data for the U.S. and the U.K., + we show that the aggregate response of consumption to interest + rate changes is driven by households with a mortgage. Outright + home-owners do not adjust expenditure at all while renters change + their spending but by less than mortgagors. Income rises for all + households as interest rate cuts directly affect firm investment + and household consumption, boosting aggregate demand. A crucial + difference between the housing tenure groups is the composition + of their balance sheets: mortgagors hold sizable illiquid assets + but little liquid wealth. Our results reveal that general + equilibrium effects on household income coupled with + balance-sheet-driven heterogeneity in the marginal propensity to + consume play a key role in the transmission of monetary policy.", + month = jan, + year = 2020, + language = "en" +} + +@ARTICLE{Auclert2019-dr, + title = "Monetary policy and the redistribution channel", + author = "Auclert, Adrien", + journal = "Am. Econ. Rev.", + publisher = "American Economic Association", + volume = 109, + number = 6, + pages = "2333--2367", + abstract = "This paper evaluates the role of redistribution in the + transmission mechanism of monetary policy to consumption. Three + channels affect aggregate spending when winners and losers have + different marginal propensities to consume: an earnings + heterogeneity channel from unequal income gains, a Fisher channel + from unexpected inflation, and an interest rate exposure channel + from real interest rate changes. Sufficient statistics from + Italian and US data suggest that all three channels are likely to + amplify the effects of monetary policy. (JEL E21, E31, E43, E52)", + month = jun, + year = 2019, + language = "en" +} + +@ARTICLE{Sterk2018-av, + title = "The transmission of monetary policy through redistributions and + durable purchases", + author = "Sterk, Vincent and Tenreyro, Silvana", + journal = "J. Monet. Econ.", + publisher = "Elsevier BV", + volume = 99, + pages = "124--137", + abstract = "Using a tractable OLG model with government debt, we study a + redistribution channel for the transmission of monetary policy. + Expansionary open-market operations generate a negative wealth + effect, increasing households’ incentives to save and pushing + down the real interest rate. This leads to a substitution towards + durables, generating a temporary boom in the durable-good sector. + With search and matching frictions, the fall in interest rates + causes an increase in labor demand, raising aggregate employment. + The model mimics the empirical responses of key macroeconomic + variables to monetary policy interventions. The fiscal policy + stance plays a key role in the transmission mechanism.", + month = nov, + year = 2018, + language = "en" +} + +@ARTICLE{Berger2018-iz, + title = "House prices and consumer spending", + author = "Berger, David and Guerrieri, Veronica and Lorenzoni, Guido and + Vavra, Joseph", + journal = "Rev. Econ. Stud.", + publisher = "Oxford University Press (OUP)", + volume = 85, + number = 3, + pages = "1502--1542", + abstract = "Recent empirical work shows large consumption responses to house + price movements. This is at odds with a prominent theoretical + view which, using the logic of the permanent income hypothesis, + argues that consumption responses should be small. We show that, + in contrast to this view, workhorse models of consumption with + incomplete markets calibrated to rich cross-sectional micro facts + actually predict large consumption responses, in line with the + data. To explain this result, we show that consumption responses + to permanent house price shocks can be approximated by a simple + and robust rule-of-thumb formula: the marginal propensity to + consume out of temporary income times the value of housing. In + our model, consumption responses depend on a number of factors + such as the level and distribution of debt, the size and history + of house price shocks, and the level of credit supply. Each of + these effects is naturally explained with our simple formula.", + month = jul, + year = 2018, + language = "en" +} + +@TECHREPORT{Boar2017-ym, + title = "Liquidity constraints in the {U}.s. housing market", + author = "Boar, Corina and Gorea, Denis and Midrigan, Virgiliu", + publisher = "National Bureau of Economic Research", + institution = "National Bureau of Economic Research", + address = "Cambridge, MA", + abstract = "We study the severity of liquidity constraints in the U.S. + housing market using a lifecycle model with uninsurable + idiosyncratic risks in which houses are illiquid, but agents + have the option to refinance their long-term mortgages or + extract home equity. The model reproduces well the distribution + of individual-level balance sheets – the fraction of housing, + mortgage debt and liquid assets in a household’s wealth, the + fraction of hand-to-mouth homeowners (Kaplan and Violante, + 2014), as the well as the frequency of housing turnover and + home equity extraction in the 2001 data. The model implies that + 75\% of homeowners are liquidity constrained and willing to pay + an average of 9 cents to extract an additional dollar of + liquidity from their home. Liquidity constraints imply sizable + welfare losses that amount to a 1.2\% permanent drop in + consumption, despite the relatively high frequency of home + equity extraction observed in the data.", + month = apr, + year = 2017 +} + +@ARTICLE{McKay2016-si, + title = "The power of forward guidance revisited", + author = "McKay, Alisdair and Nakamura, Emi and Steinsson, Jón", + journal = "Am. Econ. Rev.", + publisher = "American Economic Association", + volume = 106, + number = 10, + pages = "3133--3158", + abstract = "In recent years, central banks have increasingly turned to + forward guidance as a central tool of monetary policy. Standard + monetary models imply that far future forward guidance has huge + effects on current outcomes, and these effects grow with the + horizon of the forward guidance. We present a model in which the + power of forward guidance is highly sensitive to the assumption + of complete markets. When agents face uninsurable income risk and + borrowing constraints, a precautionary savings effect tempers + their responses to changes in future interest rates. As a + consequence, forward guidance has substantially less power to + stimulate the economy. (JEL E21, E40, E50)", + month = oct, + year = 2016, + language = "en" +} + +@ARTICLE{Bhutta2016-uc, + title = "Interest rates and equity extraction during the housing boom", + author = "Bhutta, Neil and Keys, Benjamin J", + journal = "Am. Econ. Rev.", + publisher = "American Economic Association", + volume = 106, + number = 7, + pages = "1742--1774", + abstract = "Credit record panel data from 1999–2010 indicates that the + likelihood of home equity extraction (borrowing, on average, + about \$40,000 against one's home) peaked in 2003 when mortgage + rates reached historic lows. We estimate a 27 percent rise in + extraction in response to a 100 basis point rate decline, and + that house price growth amplifies this relationship. Differential + responses to interest rates and home price appreciation by + borrower age and credit score provide new evidence of financial + frictions. Finally, equity extractions are associated with higher + default risk, consistent with the use of borrowed funds for + consumption or illiquid investment. (JEL D14, E43, E52, G12, R31)", + month = jul, + year = 2016, + language = "en" +} + +@ARTICLE{Kara2016-na, + title = "Interest rate effects of demographic changes in a New Keynesian + life-cycle framework", + author = "Kara, Engin and von Thadden, Leopold", + journal = "Macroecon. Dyn.", + publisher = "Cambridge University Press (CUP)", + volume = 20, + number = 1, + pages = "120--164", + abstract = "This paper develops a small-scale DSGE model that embeds a + demographic structure within a monetary policy framework. We + extend the nonmonetary overlapping-generations model of Gertler + and present a small synthesis model that combines the setup of + Gertler with a New Keynesian structure, implying that the + short-run dynamics related to monetary policy can be compared + with that of the standard New Keynesian model. In sum, the model + offers a New Keynesian platform that can be used to characterize + the response of macroeconomic variables to demographic shocks, + similarly to the responses to technology or monetary policy + shocks. We offer such characterizations for flexible and sticky + price equilibria. Empirically, we calibrate the model to + demographic developments projected for the euro area. The main + finding is that the projected slowdown in population growth and + the increase in longevity contribute slowly over time to a + decline in the equilibrium interest rate.", + month = jan, + year = 2016, + language = "en" +} + +@ARTICLE{Hurst2015-du, + title = "Regional redistribution through the {U}.s. mortgage market", + author = "Hurst, Erik and Keys, Benjamin J and Seru, Amit and Vavra, Joseph", + journal = "SSRN Electron. J.", + publisher = "Elsevier BV", + abstract = "Regional shocks are an important feature of the U.S. economy. + Households' ability to self-insure against these shocks depends + on how they affect local interest rates. In the U.S., most + borrowing occurs through the mortgage market and is influenced by + the presence of government-sponsored enterprises (GSEs). We + establish that despite large regional variation in predictable + default risk, GSE mortgage rates for otherwise identical loans do + not vary spatially. In contrast, the private market does set + interest rates which vary with local risk, and we postulate that + the lack of regional variation in GSE mortgage rates is likely + driven by political pressure. We use a spatial model of + collateralized borrowing to show that the national interest rate + policy substantially affects welfare by redistributing resources + across regions.", + year = 2015, + language = "en" +} + +@ARTICLE{Bhutta2013-fi, + title = "Interest rates and equity extraction during the housing boom", + author = "Bhutta, Neil and Keys, Benjamin J", + journal = "SSRN Electron. J.", + publisher = "Elsevier BV", + abstract = "Credit record panel data from 1999-2010 indicates that the + likelihood of home equity extraction (borrowing, on average, + about \$40,000 against one's home) peaked in 2003 when mortgage + rates reached historic lows. We estimate a 27 percent rise in + extraction in response to a 100 basis point rate decline, and + that house price growth amplifies this relationship. Differential + responses to interest rates and home price appreciation by + borrower age and credit score provide new evidence of financial + frictions. Finally, equity extractions are associated with higher + default risk, consistent with the use of borrowed funds for + consumption or illiquid investment.", + year = 2013 +} + +@ARTICLE{Karahan2015-km, + title = "What do data on millions of {U}.s. workers reveal about + life-cycle earnings risk?", + author = "Karahan, Fatih and Guvenen, Fatih and Ozkan, Serdar and Song, Jae", + journal = "SSRN Electron. J.", + publisher = "Elsevier BV", + abstract = "We study the evolution of individual labor earnings over the life + cycle using a large panel data set of earnings histories drawn + from U.S. administrative records. Using fully nonparametric + methods, our analysis reaches two broad conclusions. First, + earnings shocks display substantial deviations from + lognormality---the standard assumption in the incomplete markets + literature. In particular, earnings shocks display strong + negative skewness and extremely high kurtosis---as high as 30 + compared with 3 for a Gaussian distribution. The high kurtosis + implies that in a given year, most individuals experience very + small earnings shocks, and a small but non-negligible number + experience very large shocks. Second, these statistical + properties vary significantly both over the life cycle and with + the earnings level of individuals. We also estimate impulse + response functions of earnings shocks and find important + asymmetries: positive shocks to high-income individuals are quite + transitory, whereas negative shocks are very persistent; the + opposite is true for low-income individuals. Finally, we use + these rich sets of moments to estimate econometric processes with + increasing generality to capture these salient features of + earnings dynamics.", + year = 2015, + language = "en" +} + +@ARTICLE{Mian2015-ol, + title = "Foreclosures, house prices, and the real economy: Foreclosures, + house prices, and the real economy", + author = "Mian, Atif and Sufi, Amir and Trebbi, Francesco", + journal = "J. Finance", + publisher = "Wiley", + volume = 70, + number = 6, + pages = "2587--2634", + abstract = "ABSTRACTFrom 2007 to 2009, states without a judicial requirement + for foreclosures were twice as likely to foreclose on delinquent + homeowners. Analysis of borders of states with differing + foreclosure laws reveals a discrete jump in foreclosure + propensity as one enters nonjudicial states. Using state judicial + requirement as an instrument for foreclosures, we show that + foreclosures led to a large decline in house prices, residential + investment, and consumer demand from 2007 to 2009. As + foreclosures subsided from 2011 to 2013, the foreclosure rates in + nonjudicial and judicial requirement states converged and we find + some evidence of a stronger recovery in nonjudicial states.", + month = dec, + year = 2015, + language = "en" +} + +@ARTICLE{Beraja2015-ig, + title = "Regional heterogeneity and monetary policy", + author = "Beraja, Martin and Fuster, Andreas and Hurst, Erik and Vavra, + Joseph", + journal = "SSRN Electron. J.", + publisher = "Elsevier BV", + year = 2015 +} + +@ARTICLE{Juselius2015-dk, + title = "Can demography affect inflation and monetary policy?", + author = "Juselius, Mikael and Takáts, Előd", + publisher = "BIS Working paper", + abstract = "Several countries are concurrently experiencing historically low + inflation rates and ageing populations. Is there a connection, as + recently suggested by some senior central bankers? We undertake a + comprehensive test of this hypothesis in a panel of 22 countries + over the 1955-2010 period. We find a stable and significant + correlation between demography and low-frequency inflation. In + particular, a larger share of dependents (ie young and old) is + correlated with higher inflation, while a larger share of working + age cohorts is correlated with lower inflation. The results are + robust to different country samples, time periods, control + variables and estimation techniques. We also find a significant, + albeit unstable, relationship between demography and monetary + policy.", + year = 2015 +} + +@TECHREPORT{Eggertsson2014-to, + title = "A model of secular stagnation", + author = "Eggertsson, Gauti and Mehrotra, Neil", + publisher = "National Bureau of Economic Research", + address = "Cambridge, MA", + abstract = "We propose an overlapping generations New Keynesian model in + which a permanent (or very persistent) slump is possible without + any self- correcting force to full employment. The trigger for + the slump is a deleveraging shock, which creates an oversupply of + savings. Other forces that work in the same direction and can + both create or exacerbate the problem include a drop in + population growth, an increase in income inequality, and a fall + in the relative price of investment. Our model sheds light on the + long persistence of the Japanese crisis, the Great Depression, + and the slow recovery out of the Great Recession. It also + highlights several implications for policy.", + month = oct, + year = 2014 +} + +@ARTICLE{Landvoigt2015-mw, + title = "The housing market (s) of San Diego", + author = "Landvoigt, Tim and Piazzesi, Monika and Schneider, Martin", + journal = "Am. Econ. Rev.", + publisher = "American Economic Association", + volume = 105, + number = 4, + pages = "1371--1407", + abstract = "This paper uses an assignment model to understand the cross + section of house prices within a metro area. Movers’ demand for + housing is derived from a life-cycle problem with credit market + frictions. Equilibrium house prices adjust to assign houses that + differ by quality to movers who differ by age, income, and + wealth. To quantify the model, we measure distributions of house + prices, house qualities, and mover characteristics from + micro-data on San Diego County during the 2000s boom. The main + result is that cheaper credit for poor households was a major + driver of prices, especially at the low end of the market. (JEL + D14, D91, R21, R31)", + month = apr, + year = 2015, + language = "en" +} + +@ARTICLE{Imam2015-ee, + title = "Shock from graying: Is the demographic shift weakening monetary + policy effectiveness: Shock of graying", + author = "Imam, Patrick A", + journal = "Int. J. Finance Econ.", + publisher = "Wiley", + volume = 20, + number = 2, + pages = "138--154", + abstract = "There is mounting evidence that in advanced economies, changes in + monetary policy have a more benign impact on the economy—given + better anchored inflation expectations and inflation being less + responsive to variation in unemployment—compared with the past. + We examine another aspect that could explain this empirical + finding, namely the demographic shift to an older society. The + paper first clarifies potential transmission channels that could + explain why monetary policy effectiveness may moderate in graying + societies. Then, using Bayesian estimation techniques for the + USA, Canada, Japan, the UK and Germany, a weakening of monetary + policy effectiveness over time with regard to unemployment and + inflation is confirmed. After proving the existence of a panel + co‐integration relationship between ageing and a weakening of + monetary policy, the study uses dynamic panel ordinary least + squares techniques to attribute this weakening of monetary policy + effectiveness to demographic changes. The paper concludes with + policy implications. Copyright © 2014 John Wiley \& Sons, Ltd.", + month = mar, + year = 2015, + language = "en" +} + +@TECHREPORT{Keys2014-wb, + title = "Mortgage rates, household balance sheets, and the real economy", + author = "Keys, Benjamin and Piskorski, Tomasz and Seru, Amit and Yao, + Vincent", + publisher = "National Bureau of Economic Research", + institution = "National Bureau of Economic Research", + address = "Cambridge, MA", + month = oct, + year = 2014 +} + +@ARTICLE{Di-Maggio2014-rv, + title = "Monetary policy pass-through: Household consumption and voluntary + deleveraging", + author = "Di Maggio, Marco and Kermani, Amir and Ramcharan, Rodney", + journal = "SSRN Electron. J.", + publisher = "Elsevier BV", + abstract = "Do households bene…t from expansionary monetary policy? We + investigate how indebted households'consumption and saving + decisions are aected by anticipated changes in monthly interest + payments. We focus on borrowers with adjustable rate mortgages + originated between 2005 and 2007 featuring an automatic reset of + the interest rate after …ve years. The monthly payment due from + the average borrower falls by 52 percent ($900) upon reset, + resulting in an increase in disposable income totaling tens of + thousands of dollars over the remaining life of the mortgage. We + uncover three patterns. First, the average household increases + monthly car purchases by 40 percent ($150) upon reset. Second, + this expansionary eect is attenuated by the borrowers'voluntary + deleveraging, as a signi…cant fraction of the increased income is + deployed to accelerate debt repayment. Third, the marginal + propensity to consume is signi…cantly higher for low income and + underwater borrowers. To complement these household-level + …ndings, we employ county-level data to provide evidence that + consumption responded more to a reduction in short-term interest + rates in counties with a larger fraction of adjustable rate + mortgage debt. Our results shed light on the income channel of + monetary policy as well as the role of debt rigidity in reducing + the eectiveness of monetary policy.", + year = 2014, + language = "en" +} + +@ARTICLE{Guvenen2014-lo, + title = "Inferring Labor Income Risk and Partial Insurance from Economic + Choices", + author = "Guvenen, Fatih and Smith, Anthony A", + abstract = "This paper uses the information contained in the joint dynamics of + individuals' labor earnings and consumption‐choice decisions to + quantify both the amount of income risk that individuals face and + the extent to which they have access to informal insurance against + this risk. We accomplish this task by using indirect inference to + estimate a structural consumption–savings model, in which + individuals both learn about the nature of their income process + and partly insure shocks via informal mechanisms. In this + framework, we estimate (i) the degree of partial insurance, (ii) + the extent of systematic differences in income growth rates, (iii) + the precision with which individuals know their own income growth + rates when they begin their working lives, (iv) the persistence of + typical labor income shocks, (v) the tightness of borrowing + constraints, and (vi) the amount of measurement error in the data. + In implementing indirect inference, we find that an auxiliary + model that approximates the true structural equations of the model + (which are not estimable) works very well, with negligible small + sample bias. The main substantive findings are that income shocks + are moderately persistent, systematic differences in income growth + rates are large, individuals have substantial amounts of + information about their income growth rates, and about one‐half of + income shocks are smoothed via partial insurance. Putting these + findings together, the amount of uninsurable lifetime income risk + that individuals perceive is substantially smaller than what is + typically assumed in calibrated macroeconomic models with + incomplete markets.", + year = 2014 +} + +@ARTICLE{Gilchrist2015-er, + title = "Monetary policy and real borrowing costs at the zero lower bound", + author = "Gilchrist, Simon and López-Salido, David and Zakrajšek, Egon", + journal = "Am. Econ. J. Macroecon.", + publisher = "American Economic Association", + volume = 7, + number = 1, + pages = "77--109", + month = jan, + year = 2015 +} + +@ARTICLE{Khandani2013-kc, + title = "Systemic risk and the refinancing ratchet effect", + author = "Khandani, Amir E and Lo, Andrew W and Merton, Robert C", + journal = "J. Financ. Econ.", + publisher = "Elsevier BV", + volume = 108, + number = 1, + pages = "29--45", + abstract = "The combination of rising home prices, declining interest rates, + and near-frictionless refinancing opportunities can create + unintentional synchronization of homeowner leverage, leading to a + “ratchet” effect on leverage because homes are indivisible and + owner-occupants cannot raise equity to reduce leverage when home + prices fall. Our simulation of the U.S. housing market yields + potential losses of $1.7 trillion from June 2006 to December 2008 + with cash-out refinancing vs. only $330 billion in the absence of + cash-out refinancing. The refinancing ratchet effect is a new + type of systemic risk in the financial system and does not rely + on any dysfunctional behaviors.", + month = apr, + year = 2013, + language = "en" +} + +@ARTICLE{Kaplan2014-ee, + title = "A Model of the Consumption Response to Fiscal Stimulus Payments", + author = "Kaplan, Greg and Violante, Giovanni L", + journal = "Econometrica", + abstract = "A wide body of empirical evidence, based on randomized + experiments, finds that 20-40 percent of fiscal stimulus payments + (e.g. tax rebates) are spent on non-durable household consumption + in the quarter that they are received. We develop a structural + economic model to interpret this evidence. Our model integrates + the classical Baumol-Tobin model of money demand into the + workhorse incomplete-markets life-cycle economy. In this + framework, households can hold two assets: a low-return liquid + asset (e.g., cash, checking account) and a high-return illiquid + asset (e.g., housing, retirement account) that carries a + transaction cost. The optimal life-cycle pattern of wealth + accumulation implies that many households are ``wealthy + hand-to-mouth'': they hold little or no liquid wealth despite + owning sizable quantities of illiquid assets. They therefore + display large propensities to consume out of additional income. We + document the existence of such households in data from the Survey + of Consumer Finances. A version of the model parametrized to the + 2001 tax rebate episode is able to generate consumption responses + to fiscal stimulus payments that are in line with the data.", + year = 2014 +} + +@ARTICLE{Alvarez2012-gi, + title = "Durable consumption and asset management with transaction and + observation costs", + author = "Alvarez, Fernando and Guiso, Luigi and Lippi, Francesco", + journal = "Am. Econ. Rev.", + publisher = "American Economic Association", + volume = 102, + number = 5, + pages = "2272--2300", + abstract = "The empirical evidence on rational inattention lags the + theoretical developments: micro evidence on one of the most + immediate consequences of observation costs––the infrequent + observation of state variables––is not available in standard + datasets. We contribute to filling the gap using new household + surveys. To match these data we modify existing models, shifting + the focus from nondurable to durable consumption. The model + features both observation and transaction costs and implies a + mixture of time-dependent and state-dependent rules. Numerical + simulations explain the frequencies of trading and observation of + the median investor with small observation costs and larger + transaction costs. (JEL D12, D14, E21, G11)", + month = aug, + year = 2012, + language = "en" +} + +@ARTICLE{Mian2013-wr, + title = "Household balance sheets, consumption, and the economic slump", + author = "Mian, Atif and Rao, Kamalesh and Sufi, Amir", + journal = "Q. J. Econ.", + publisher = "Oxford University Press (OUP)", + volume = 128, + number = 4, + pages = "1687--1726", + abstract = "Abstract We investigate the consumption consequences of the + 2006–9 housing collapse using the highly unequal geographic + distribution of wealth losses across the United States. We + estimate a large elasticity of consumption with respect to + housing net worth of 0.6 to 0.8, which soundly rejects the + hypothesis of full consumption risk-sharing. The average marginal + propensity to consume (MPC) out of housing wealth is 5–7 cents + with substantial heterogeneity across ZIP codes. ZIP codes with + poorer and more levered households have a significantly higher + MPC out of housing wealth. In line with the MPC result, ZIP codes + experiencing larger wealth losses, particularly those with poorer + and more levered households, experience a larger reduction in + credit limits, refinancing likelihood, and credit scores. Our + findings highlight the role of debt and the geographic + distribution of wealth shocks in explaining the large and unequal + decline in consumption from 2006 to 2009.", + month = nov, + year = 2013, + language = "en" +} + +@ARTICLE{Abel2013-hc, + title = "{OPTIMAL} {INATTENTION} {TO} {THE} {STOCK} {MARKET} {WITH} + {INFORMATION} {COSTS} {AND} {TRANSACTIONS} {COSTS}", + author = "Abel, Andrew B and Eberly, Janice C and Panageas, Stavros", + journal = "Econometrica", + abstract = "Recurrent intervals of inattention to the stock market are optimal + if consumers incur a utility cost to observe asset values. When + consumers observe the value of their wealth, they decide whether + to transfer funds between a transactions account from which + consumption must be financed and an investment portfolio of equity + and riskless bonds. Transfers of funds are subject to a + transactions cost that reduces wealth and consists of two + components: one is proportional to the amount of assets + transferred, and the other is a fixed resource cost. Because it is + costly to transfer funds, the consumer may choose not to transfer + any funds on a particular observation date. In general, the + optimal adjustment rule—including the size and direction of + transfers, and the time of the next observation—is + state-dependent. Surprisingly, unless the fixed resource cost of + transferring funds is large, the consumer’s optimal behavior + eventually evolves to a situation with a purely time-dependent + rule with a constant interval of time between observations. This + interval of time can be substantial even for tiny observation + costs. When this situation is attained, the standard consumption + Euler equation holds between observation dates if the consumer is + sufficiently risk averse.", + year = 2013 +} + +@ARTICLE{Einav2010-jg, + title = "Recording discrepancies in Nielsen Homescan data: Are they + present and do they matter?", + author = "Einav, Liran and Leibtag, Ephraim and Nevo, Aviv", + journal = "Quant. Mark. Econ.", + publisher = "Springer Science and Business Media LLC", + volume = 8, + number = 2, + pages = "207--239", + month = jun, + year = 2010, + language = "en" +} + +@TECHREPORT{Doepke2006-bd, + title = "Inflation as a redistribution shock: Effects on aggregates and + welfare", + author = "Doepke, Matthias and Schneider, Martin", + publisher = "National Bureau of Economic Research", + institution = "National Bureau of Economic Research", + address = "Cambridge, MA", + abstract = "Episodes of unanticipated inflation reduce the real value of + nominal claims and thus redistribute wealth from lenders to + borrowers. In this study, we consider redistribution as a + channel for aggregate and welfare effects of inflation. We + model an inflation episode as an unanticipated shock to the + wealth distribution in a quantitative overlapping-generations + model of the U.S. economy. While the redistribution shock is + zero sum, households react asymmetrically, mostly because + borrowers are younger on average than lenders. As a result, + inflation generates a decrease in labour supply as well as an + increase in savings. Even though inflation-induced + redistribution has a persistent negative effect on output, it + improves the weighted welfare of domestic households.", + month = jun, + year = 2006 +} + +@ARTICLE{Fujiwara2008-fj, + title = "A dynamic new Keynesian life-cycle model: Societal aging, + demographics, and monetary policy", + author = "Fujiwara, Ippei and Teranishi, Yuki", + journal = "J. Econ. Dyn. Control", + publisher = "Elsevier BV", + volume = 32, + number = 8, + pages = "2398--2427", + abstract = "In this paper, we first construct a dynamic new Keynesian model + that incorporates life-cycle behavior a la Gertler [1999. + Government debt and social security in a life-cycle economy. + Carnegie–Rochester Conference Series on Public Policy 50, + 61–110], in order to study whether structural shocks to the + economy have asymmetric effects on heterogeneous agents, namely + workers and retirees. We also examine whether considerations of + life-cycle and demographic structure alter the dynamic properties + of the monetary business cycle model, specifically the degree of + amplification in impulse responses. According to our simulation + results, shocks indeed have asymmetric impacts on different + households and the demographic structure does alter the size of + responses against shocks by changing the trade-off between + substitution and income effects.", + month = aug, + year = 2008, + language = "en" +} + +@TECHREPORT{Aguiar2008-zn, + title = "Deconstructing Lifecycle Expenditure", + author = "Aguiar, Mark and Hurst, Erik", + publisher = "National Bureau of Economic Research", + institution = "National Bureau of Economic Research", + address = "Cambridge, MA", + abstract = "In this paper we revisit two well-known facts regarding + lifecycle expenditures. The first is the familiar ``hump'' + shaped lifecycle profile of nondurable expenditures. We + document that the behavior of total nondurables masks + surprising heterogeneity in the lifecycle profile of individual + sub-components. We find, for example, that while food + expenditures decline after middle age, expenditures on + entertainment continue to increase throughout the lifecycle. + These patterns pose a challenge to models that emphasize + inter-temporal substitution or movements in income, including + standard models of precautionary savings, myopia, and limited + commitment, to explain the lifecycle profile of expenditures. + Second, we document that the increase in the cross-sectional + dispersion of expenditure over the lifecycle is not greater for + luxuries. In particular, the dispersion in entertainment + expenditure declines relative to food expenditures as + households become older, casting further doubt on theories that + emphasize (exclusively) shocks to permanent income to explain + the rising cross sectional expenditure dispersion over the + lifecycle. We propose and test a Beckerian model that + emphasizes intra-temporal substitution between time and + expenditures as the opportunity cost of time varies over the + lifecycle. We find this alternative model successfully explains + the joint behavior of food and entertainment expenditures in + the latter half of the lifecycle. The model, however, is less + successful in explaining expenditure patterns early in the + lifecycle.", + month = mar, + year = 2008 +} + +@ARTICLE{Doepke2006-ke, + title = "Aggregate implications of wealth redistribution: The case of + inflation", + author = "Doepke, Matthias and Schneider, Martin", + journal = "J. Eur. Econ. Assoc.", + publisher = "Oxford University Press (OUP)", + volume = 4, + number = "2-3", + pages = "493--502", + month = may, + year = 2006, + language = "en" +} + +@ARTICLE{Cocco2005-ub, + title = "Consumption and portfolio choice over the life cycle", + author = "Cocco, João F and Gomes, Francisco J and Maenhout, Pascal J", + journal = "Rev. Financ. Stud.", + publisher = "Oxford University Press (OUP)", + volume = 18, + number = 2, + pages = "491--533", + abstract = "This article solves a realistically calibrated life cycle model + of consumption and portfolio choice with non-tradable labor + income and borrowing constraints. Since labor income substitutes + for riskless asset holdings, the optimal share invested in + equities is roughly decreasing over life. We compute a measure of + the importance of human capital for investment behavior. We find + that ignoring labor income generates large utility costs, while + the cost of ignoring only its risk is an order of magnitude + smaller, except when we allow for a disastrous labor income + shock. Moreover, we study the implications of introducing + endogenous borrowing constraints in this incomplete-markets + setting. Copyright 2005, Oxford University Press.", + year = 2005, + language = "en" +} + +@ARTICLE{Hurst2004-cu, + title = "Home is where the equity is: Mortgage refinancing and household + consumption", + author = "Hurst, Erik and Stafford, Frank P", + journal = "J. Money Credit Bank.", + publisher = "Johns Hopkins University Press", + volume = 36, + number = 6, + pages = "985--1014", + abstract = "Applying a permanent income model with exogenous liquidity + constraints and mortgage behavior, household refinancing when + mortgage interest rates are historically high and rising, a + persistent empirical puzzle, is explained. Using data from the + Panel Study of Income Dynamics, households experiencing an + unemployment shock and having limited initial liquid assets to + draw upon are shown to have been 25\% more likely to refinance, + 1991-94. On average, such liquidity-constrained households + converted over two-thirds of every dollar of equity they removed + into current consumption as mortgage rates plummeted, 1991-94, + producing an estimated expenditure stimulus of at least \$28 + billion.", + year = 2004 +} + +@ARTICLE{Campbell2003-qk, + title = "Household risk management and optimal mortgage choice", + author = "Campbell, J Y and Cocco, J F", + journal = "Q. J. Econ.", + publisher = "Oxford University Press (OUP)", + volume = 118, + number = 4, + pages = "1449--1494", + month = nov, + year = 2003, + language = "en" +} + +@ARTICLE{Abel2003-js, + title = "The effects of a baby boom on stock prices and capital + accumulation in the presence of social security", + author = "Abel, Andrew B", + journal = "Econometrica", + publisher = "The Econometric Society", + volume = 71, + number = 2, + pages = "551--578", + month = mar, + year = 2003, + language = "en" +} + +@ARTICLE{Kuttner2001-uq, + title = "Monetary policy surprises and interest rates: Evidence from the + Fed funds futures market", + author = "Kuttner, Kenneth N", + journal = "J. Monet. Econ.", + publisher = "Elsevier BV", + volume = 47, + number = 3, + pages = "523--544", + abstract = "This paper estimates the impact of monetary policy actions on + bill, note, and bond yields, using data from the futures market + for Federal funds to separate changes in the target funds rate + into anticipated and unanticipated components. Interest rates’ + response to anticipated target rate changes is small, while their + response to unanticipated changes is large and highly + significant. These responses are generally consistent with the + expectations hypothesis of the term structure. Surprise target + rate changes have little effect on expectations of future + actions, however, which helps to explain the lack of empirical + support for the expectations hypothesis at the short end of the + yield curve.", + month = jun, + year = 2001, + language = "en" +} + +@ARTICLE{Floden2001-vb, + title = "Idiosyncratic risk in the United States and Sweden: Is there a + role for government insurance?", + author = "Floden, Martin and Lindé, Jesper", + journal = "Rev. Econ. Dyn.", + publisher = "Elsevier BV", + volume = 4, + number = 2, + pages = "406--437", + month = apr, + year = 2001, + language = "en" +} + +@ARTICLE{Rios-Rull2001-fa, + title = "Population changes and capital accumulation: The aging of the + baby boom", + author = "Ríos-Rull, José-Víctor", + journal = "Top. Macroecon.", + publisher = "Walter de Gruyter GmbH", + volume = 1, + number = 1, + abstract = "Abstract In this paper I explore the quantitative implications + for savings of population aging. In doing so, I pay particular + attention to some features that have been partially over-looked + in the literature. These features include the details of the + population aging process, the initial conditions with respect to + assets holdings, and the relation between age and household size. + In order to do so, I develop recursive methods capable of dealing + with overlapping generations environments where the population is + stochastic. The main findings are: i) If population patterns + revert to the averages of the last 50 years, the reduction in + aggregate savings due to changes in the age structure of the + population is small. ii) If, however, the demographic process is + such that fertility patterns remain at their current low levels, + then the effects of the aging of the baby boom are very large. + iii) Initial conditions matter: both the choice for initial + assets and the choice for the mechanism through which current + fertility reverts to its long run average have implications for + the economic allocations. And iv) The contribution of general + equilibrium effects is to exacerbate the reduction of savings + since population aging tends to make labor relatively scarce, + and, therefore, to reduce rates of return of capital, which in + turn reduces savings even further.", + month = nov, + year = 2001, + language = "en" +} + +@TECHREPORT{Kennedy1998-wf, + title = "Asset prices and monetary policy", + author = "Kennedy, M and Palerm, Á and Pigott, Charles A and Terribile, F", + publisher = "Organisation for Economic Co-Operation and Development (OECD)", + series = "OECD Economics Department Working Papers", + month = feb, + year = 1998 +} + +@ARTICLE{Rios-Rull1996-jp, + title = "Life-cycle economies and aggregate fluctuations", + author = "Rios-Rull, Jose-Victor", + journal = "Rev. Econ. Stud.", + publisher = "Oxford University Press (OUP)", + volume = 63, + number = 3, + pages = 465, + abstract = "Do the implications for business cycle issues change when we + switch from studying infinitely-lived, representative-agent + models to more sophisticated demographic structures with finitely + lived agents? This article addresses that question by using a + large, overlapping-generations model that is calibrated to U.S. + demographic properties, microeconomic evidence, and National + Income and Product Accounts. The finding is that the answers + obtained are basically the same for the two kinds of models. The + article also explores the relative volatility of hours across age + groups, an issue that cannot be addressed by using the + infinitely-lived, representative-agent abstraction.", + month = jul, + year = 1996 +} + +@TECHREPORT{Auerbach1989-nb, + title = "The economic dynamics of an ageing population: The case of four + {OECD} countries", + author = "Auerbach, A and Kotlikoff, L and Hagemann, R and Nicoletti, G", + publisher = "Organisation for Economic Co-Operation and Development (OECD)", + series = "OECD Economics Department Working Papers", + month = jan, + year = 1989 +} + +@TECHREPORT{Auerbach1989-zm, + title = "The economic dynamics of an ageing population: The case of four + {OECD} countries", + author = "Auerbach, Alan J and Kotlikoff, Laurence J and Hagemann, Robert P + and Nicoletti, Giuseppe", + publisher = "Organisation for Economic Co-Operation and Development (OECD)", + series = "OECD Economics Department Working Papers", + month = jan, + year = 1989 +} + +@TECHREPORT{Clark1980-dg, + title = "Demographic differences in cyclical employment variation", + author = "Clark, Kim and Summers, Lawrence", + publisher = "National Bureau of Economic Research", + institution = "National Bureau of Economic Research", + address = "Cambridge, MA", + abstract = "Demographic differences in patterns of employment variation + over the business cycle are examined in this paper. Three + primary conclusions emerge. First, both participation and + unemployment must be considered in any analysis of cyclical + changes in the labor market. Second, young people bear a + disproportionate share of cyclical employment variation. Third, + failure to consider participation has led to undue pessimism + about the effect of aggregate demand policy on high + unemployment groups. If participation did not surge, reduction + in overall unemployment to its 1969 level would reduce the + unemployment of almost all demographic groups to very low + levels.", + month = jul, + year = 1980 +} + +@ARTICLE{Auerbach1985-ud, + title = "Simulating alternative social security responses to the + demographic transition", + author = "Auerbach, A J and Kotlikoff, L J", + journal = "Natl. Tax J.", + publisher = "University of Chicago Press", + volume = 38, + number = 2, + pages = "153--168", + abstract = "``This paper uses a perfect foresight life cycle simulation model + to examine the dynamic economic effects of baby 'booms' and baby + 'busts' as well as the interaction of such demographic changes + with social security policy. Demographic change can have sizeable + short and long-run effects on saving rates and factors returns.'' + The geographic focus is on the United States. ``The model + predicts long-run improvement in welfare associated with a + prolonged baby bust. This improvement holds even in the absence + of accommodating social security policy. It reflects a long-run + decline in the dependency ratio, with the reduction in dependent + children per worker more than offsetting the increase in retirees + per worker.''", + month = jun, + year = 1985, + keywords = "Americas; Baby Boom; Baby Bust; Cyclic Analysis; Demographic + Effectiveness; Demographic Factors; Dependency Burden; Developed + Countries; Developing Countries; Economic Factors; Family + Planning; Family Planning Program Evaluation; Family Planning + Programs; Fertility; Financial Activities; Financing, Government; + Microeconomic Factors; Models, Theoretical; North America; + Northern America; Policy; Population; Population Dynamics; Social + Policy; Social Security; Social Welfare; Socioeconomic Factors; + United States", + language = "en" +} + +@ARTICLE{Clark1981-qa, + title = "Demographic differences in cyclical employment variation", + author = "Clark, Kim B and Summers, Lawrence H", + journal = "J. Hum. Resour.", + publisher = "JSTOR", + volume = 16, + number = 1, + pages = 61, + abstract = "Demographic differences in patterns of employment variation over + the business cycle are examined in this paper. Three primary + conclusions emerge. First, both participation and unemployment + must be considered in any analysis of cyclical changes in the + labor market. Second, young people bear a disproportionate share + of cyclical employment variation. Third, failure to consider + participation has led to undue pessimism about the effect of + aggregate demand policy on high unemployment groups. If + participation did not surge, reduction in overall unemployment to + its 1969 level would reduce the unemployment of almost all + demographic groups to very low levels.", + year = 1981 +} + +@ARTICLE{Gertler2015-ox, + title = "Monetary policy surprises, credit costs, and economic activity", + author = "Gertler, Mark and Karadi, Peter", + journal = "Am. Econ. J. Macroecon.", + publisher = "American Economic Association", + volume = 7, + number = 1, + pages = "44--76", + month = jan, + year = 2015 +} + +@ARTICLE{Rigobon2002-ia, + title = "The impact of monetary policy on asset prices", + author = "Rigobon, Roberto and Sack, Brian", + journal = "Fin. Econ. Discuss. Ser.", + publisher = "Board of Governors of the Federal Reserve System", + volume = "2002.0", + number = 4, + pages = "1--34", + abstract = "Estimating the response of asset prices to changes in monetary + policy is complicated by the endogeneity of policy decisions and + the fact that both interest rates and asset prices react to + numerous other variables. This paper develops a new estimator + that is based on the heteroskedasticity that exists in high + frequency data. We show that the response of asset prices to + changes in monetary policy can be identified based on the + increase in the variance of policy shocks that occurs on days of + FOMC meetings and of the Chairman's semi-annual monetary policy + testimony to Congress. The identification approach employed + requires a much weaker set of assumptions than needed under the + ``event-study'' approach that is typically used in this context. + The results indicate that an increase in short-term interest + rates results in a decline in stock prices and in an upward shift + in the yield curve that becomes smaller at longer maturities.", + year = 2002 +} + +@ARTICLE{Hurst2016-ff, + title = "Regional redistribution through the {US} mortgage market", + author = "Hurst, Erik and Keys, Benjamin J and Seru, Amit and Vavra, Joseph", + journal = "Am. Econ. Rev.", + publisher = "American Economic Association", + volume = 106, + number = 10, + pages = "2982--3028", + abstract = "Regional shocks are an important feature of the US economy. + Households' ability to self-insure against these shocks depends + on how they affect local interest rates. In the United States, + most borrowing occurs through the mortgage market and is + influenced by the presence of government-sponsored enterprises + (GSE). We establish that despite large regional variation in + predictable default risk, GSE mortgage rates for otherwise + identical loans do not vary spatially. In contrast, the private + market does set interest rates which vary with local risk. We use + a spatial model of collateralized borrowing to show that the + national interest rate policy substantially affects welfare by + redistributing resources across regions. (JEL E32, E43, G21, G28, + L32, R11, R31)", + month = oct, + year = 2016, + language = "en" +} + +@ARTICLE{Gorodnichenko2016-xk, + title = "Are sticky prices costly? Evidence from the stock market", + author = "Gorodnichenko, Yuriy and Weber, Michael", + journal = "Am. Econ. Rev.", + publisher = "American Economic Association", + volume = 106, + number = 1, + pages = "165--199", + abstract = "We show that after monetary policy announcements, the conditional + volatility of stock market returns rises more for firms with + stickier prices than for firms with more flexible prices. This + differential reaction is economically large and strikingly robust + to a broad array of checks. These results suggest that menu + costs—broadly defined to include physical costs of price + adjustment, informational frictions, etc.—are an important factor + for nominal price rigidity at the micro level. We also show that + our empirical results are qualitatively and, under plausible + calibrations, quantitatively consistent with New Keynesian + macroeconomic models in which firms have heterogeneous price + stickiness. (JEL E12, E31, E43, E44, E52, G12, L11)", + month = jan, + year = 2016, + language = "en" +} + +@ARTICLE{Gorodnichenko2013-yh, + title = "Are sticky prices costly? Evidence from the stock market", + author = "Gorodnichenko, Yuriy and Weber, Michael", + journal = "SSRN Electron. J.", + publisher = "Elsevier BV", + year = 2013, + language = "en" +} + +@ARTICLE{Meh2011-xp, + title = "Inflation, nominal portfolios, and wealth redistribution in + Canada: Inflation, nominal portfolios, and wealth redistribution", + author = "Meh, Césaire A and Terajima, Yaz", + journal = "Can. J. Econ.", + publisher = "Wiley", + volume = 44, + number = 4, + pages = "1369--1402", + abstract = "Abstract This paper quantifies the redistributional effects of + inflation in Canada that arise through the revaluation of nominal + assets and liabilities. We find that the effects are non‐trivial + even for low inflation episodes. The main winners are young, + middle‐class households with mortgage debt. The government + receives a windfall gain from its long‐term debt. The old, the + rich or the middle‐aged, middle‐class lose, largely owing to + their holdings of bonds and non‐indexed defined benefit pension + assets. Finally, our Canada‐U.S. comparison reveals that the + extent of redistributions can be quite different even between + countries of similar economic and legal environments.", + month = nov, + year = 2011, + language = "en" +} + +@ARTICLE{Saiz2010-wx, + title = "The geographic determinants of housing {supply}$^{*}$", + author = "Saiz, Albert", + journal = "Q. J. Econ.", + publisher = "Oxford University Press (OUP)", + volume = 125, + number = 3, + pages = "1253--1296", + month = aug, + year = 2010, + language = "en" +} + +@ARTICLE{Alvarez2009-ot, + title = "Financial Innovation and the Transactions Demand for Cash", + author = "Alvarez, Fernando and Lippi, Francesco", + journal = "Econometrica", + abstract = "We document cash management patterns for households that are at + odds with the predictions of deterministic inventory models that + abstract from precautionary motives. We extend the Baumol-Tobin + cash inventory model to a dynamic environment that allows for the + possibility of withdrawing cash at random times at a low cost. + This modification introduces a precautionary motive for holding + cash and naturally captures developments in withdrawal technology, + such as the increasing diffusion of bank branches and ATM + terminals. We characterize the solution of the model and show that + qualitatively it is able to reproduce the empirical patterns. + Estimating the structural parameters we show that the model + quantitatively accounts for key features of the data. The + estimates are used to quantify the expenditure and interest rate + elasticity of money demand, the impact of financial innovation on + money demand, the welfare cost of inflation, the gains of + disinflation and the benefit of ATM ownership.", + year = 2009 +} + +@ARTICLE{Chen2020-uw, + title = "Houses as {ATMs}: Mortgage refinancing and macroeconomic + uncertainty", + author = "Chen, Hui and Michaux, Michael and Roussanov, Nikolai", + journal = "J. Finance", + publisher = "Wiley", + volume = 75, + number = 1, + pages = "323--375", + abstract = "ABSTRACTMortgage refinancing activity associated with extraction + of home equity contains a strongly countercyclical component + consistent with household demand for liquidity. We estimate a + structural model of liquidity management featuring + countercyclical idiosyncratic labor income uncertainty, long‐ and + short‐term mortgages, and realistic borrowing constraints. We + empirically evaluate its predictions for households' choices of + leverage, liquid assets, and mortgage refinancing using + microlevel data. Taking the observed historical paths of house + prices, aggregate income, and interest rates as given, the model + accounts for many salient features in the evolution of balance + sheets and consumption in the cross‐section of households over + 2001 to 2012.", + month = feb, + year = 2020, + language = "en" +} diff --git a/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/subsequent-literature.bib b/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/subsequent-literature.bib new file mode 100755 index 00000000..a316c319 --- /dev/null +++ b/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/subsequent-literature.bib @@ -0,0 +1,213 @@ +% Exported from Litmaps (https://www.litmaps.com) + +@article{monetary_kaplan_2016, + title = {Monetary Policy According to HANK}, + doi = {10.1257/aer.20160042}, + author = {Kaplan, Greg and Moll, Benjamin and Violante, G.}, + journal = {Social Science Research Network}, + year = {2016}, + litmapsId = {276769707} +} + + +@article{statedependent_eichenbaum_2022, + title = {State-Dependent Effects of Monetary Policy: The Refinancing Channel}, + doi = {10.1257/aer.20191244}, + author = {Eichenbaum, M. and Rebelo, Sergio and Wong, Arlene}, + journal = {American Economic Review}, + year = {2022}, + litmapsId = {214461554} +} + + +@article{refinancing_amromin_2020, + title = {Refinancing, Monetary Policy, and the Credit Cycle}, + doi = {10.1146/annurev-financial-012720-120430}, + author = {Amromin, Gene and Bhutta, Neil and Keys, Benjamin J.}, + journal = {Annual Review of Financial Economics}, + year = {2020}, + litmapsId = {278555928} +} + + +@article{population_wong_2016, + title = {Population aging and the transmission of monetary policy to consumption}, + author = {Wong, Arlene}, + journal = {Research Papers in Economics}, + year = {2016}, + litmapsId = {48123013} +} + + +@article{population_wong_2016, + title = {Population aging and the transmission of monetary policy to consumption}, + author = {Wong, Arlene}, + journal = {Research Papers in Economics}, + year = {2016}, + litmapsId = {48123013} +} + + +@article{innocent_coibion_2017, + title = {Innocent Bystanders? Monetary policy and inequality}, + doi = {10.1016/j.jmoneco.2017.05.005}, + author = {Coibion, Olivier and Gorodnichenko, Yuriy and Kueng, Lorenz and Silvia, John}, + journal = {Journal of Monetary Economics}, + year = {2017}, + litmapsId = {40685273} +} + + +@article{house_berger_2018, + title = {House Prices and Consumer Spending}, + doi = {10.1093/restud/rdx060}, + author = {Berger, David and Guerrieri, Veronica and Lorenzoni, Guido and Vavra, Joseph}, + journal = {The Review of Economic Studies}, + year = {2018}, + litmapsId = {98557575} +} + + +@article{regional_beraja_2019, + title = {Regional Heterogeneity and the Refinancing Channel of Monetary Policy*}, + doi = {10.1093/qje/qjy021}, + author = {Beraja, Martin and Fuster, Andreas and Hurst, Erik and Vavra, Joseph}, + journal = {Quarterly Journal of Economics}, + year = {2019}, + litmapsId = {169209569} +} + + +@article{houses_chen_2020, + title = {Houses as ATMs? Mortgage Refinancing and Macroeconomic Uncertainty}, + doi = {10.1111/jofi.12842}, + author = {Chen, Hui and Michaux, Michael and Roussanov, Nikolai}, + journal = {Journal of Finance}, + year = {2020}, + litmapsId = {164351263} +} + + +@article{nber_eichenbaum_2018, + title = {NBER WORKING PAPER SERIES STATE DEPENDENT EFFECTS OF MONETARY POLICY: THE REFINANCING CHANNEL}, + author = {Eichenbaum, M. and Rebelo, Sergio and Wong, Arlene}, + year = {2018}, + litmapsId = {267519532} +} + + +@article{mortgage_guren_2018, + title = {Mortgage Design in an Equilibrium Model of the Housing Market}, + doi = {10.3386/w24446}, + author = {Guren, Adam M. and Krishnamurthy, A. and McQuade, Timothy J}, + journal = {Journal of Finance}, + year = {2018}, + litmapsId = {281822069} +} + + +@article{mortgage_abel_2021, + title = {How Do Mortgage Refinances Affect Debt, Default, and Spending? Evidence from HARP}, + doi = {10.1257/mac.20180116}, + author = {Abel, Joshua and Fuster, Andreas}, + journal = {American Economic Journal: Macroeconomics}, + year = {2021}, + litmapsId = {111879392} +} + + +@article{credit_guerrieri_2017, + title = {Credit Crises, Precautionary Savings, and the Liquidity Trap}, + doi = {10.1093/qje/qjx005}, + author = {Guerrieri, Veronica and Lorenzoni, Guido}, + journal = {Quarterly Journal of Economics}, + year = {2017}, + litmapsId = {146038338} +} + + +@article{interest_dimaggio_2017, + title = {Interest Rate Pass-Through: Mortgage Rates, Household Consumption, and Voluntary Deleveraging}, + doi = {10.1257/aer.20141313}, + author = {Maggio, Marco di and Kermani, A. and Keys, Benjamin J. and Piskorski, T. and Ramcharan, Rodney and Seru, Amit and Yao, Vincent}, + year = {2017}, + litmapsId = {3619689} +} + + +@article{mortgage_greenwald_2016, + title = {The Mortgage Credit Channel of Macroeconomic Transmission}, + doi = {10.2139/ssrn.2735491}, + author = {Greenwald, Daniel L.}, + year = {2016}, + litmapsId = {88268464} +} + + +@article{regional_beraja_2018, + title = {Regional Heterogeneity and the Refinancing Channel of Monetary Policy*}, + doi = {10.1093/qje/qjy021}, + author = {Beraja, Martin and Fuster, A. and Hurst, Erik and Vavra, Joseph}, + journal = {Quarterly Journal of Economics}, + year = {2018}, + litmapsId = {248698243} +} + + +@article{microeconomic_kaplan_2018, + title = {Microeconomic Heterogeneity and Macroeconomic Shocks}, + doi = {10.2139/ssrn.3203913}, + author = {Kaplan, Greg and Violante, G.}, + journal = {Journal of Economic Perspectives}, + year = {2018}, + litmapsId = {281652137} +} + + +@article{renancing_wong_2019, + title = {Refinancing and The Transmission of Monetary Policy to Consumption *}, + author = {Wong, Arlene}, + year = {2019}, + litmapsId = {242659922} +} + + +@article{effects_kinnerud_2025, + title = {The effects of monetary policy through housing and mortgage choices on aggregate demand}, + doi = {10.3982/qe2160}, + author = {Kinnerud, Karin}, + journal = {Quantitative Economics}, + year = {2025}, + litmapsId = {288166683} +} + + +@article{monetary_auclert_2019, + title = {Monetary Policy and the Redistribution Channel}, + doi = {10.1257/aer.20160137}, + author = {Auclert, Adrien}, + journal = {The American Economic Review}, + year = {2019}, + litmapsId = {122884840} +} + + +@article{liquidity_gorea_2017, + title = {Liquidity Constraints in the U.S. Housing Market}, + doi = {10.3386/w23345}, + author = {Gorea, Denis and Midrigin, Virgiliu}, + journal = {The Review of Economic Studies}, + year = {2017}, + litmapsId = {123383383} +} + + +@article{mortgage_berger_2021, + title = {Mortgage Prepayment and Path-dependent Effects of Monetary Policy}, + doi = {10.1257/aer.20181857}, + author = {Berger, David and Milbradt, Konstantin and Tourre, Fabrice and Vavra, Joseph}, + journal = {The American Economic Review}, + year = {2021}, + litmapsId = {12644277} +} + From a730baffef9196f9407338be3500daf6ff7a7b7d Mon Sep 17 00:00:00 2001 From: nathanrobino Date: Tue, 17 Feb 2026 16:14:18 -0500 Subject: [PATCH 3/7] four-notebook MyST document --- .../PopAgingMPtransmission.md | 137 - 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Paper 2: "Population Aging and the Transmission of Monetary Policy to Consumption"
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Arlene Wond (2015)
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Nino Kodua
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Johns Hopkins University
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February 16, 2020
- -+++ {"slideshow": {"slide_type": "slide"}} - -# Overview - -* **Research Question: What are the effects of demographic changes on the transmission of monetary policy to consumption?** -* **Part I: Empirical estimate** - * **Age-specific consumption elasticities to interest rate** - * **Consumption of young people is two-three times more responsive to interest rate shocks** - * **Consumption elasticities decline with age** - * **Consumption response driven by homeowners** - * **refinance or new loans following interest rate decline** -* **Part II: Life-cycle model - partial equilibrium overlapping generations economy** - * **Uninsurable labor income risk, life-cycle saving motive, fixed-rate mortgage structure** - * **Fixed costs to adjust long-term assets** - * **housing and fixed-rate mortgage** - -+++ {"slideshow": {"slide_type": "slide"}} - -# Household's maximization problem - -* **Each period households choose** - * **1. rent** - * **2. continue owning a house & not adjust existing mortgage** - * **3. adjust mortgage and housing stock** -* **Conditional on the adjustment, households choose** - * **non-durable consumption, savings in bonds and mortgage debt** -
- - -\begin{aligned}V_{j a t}\left(z_{j a t}\right)=\max \left\{V_{j a t}\left(z_{j a t}\right)^{\mathrm{rent}}, V_{j a t}\left(z_{j a t}\right)^{\mathrm{own} \& \text { no-adjust }}, V_{j a t}\left(z_{j a t}\right)^{\text {own } \& \text { adjust }}\right\}\end{aligned} - - - - - - \begin{aligned} -z_{j a t}=\left\{S_{t}, y_{j a t}, \operatorname{assets}_{j, a-1, t-1}\right\} -\end{aligned} - - - -* **$S_t$ - uncertainty from aggregate state variables** -* **$y_{j a t}$ - uncertainty from idiosyncratic labor income** - -+++ {"slideshow": {"slide_type": "subslide"}} - -# 1. Rent Case - - - -\begin{aligned}V_{j a t}\left(z_{j a t}\right)^{\mathrm{rent}}=\max _{c_{j a t}, h_{j a t}^{\mathrm{rat}}, s_{j a t}} \frac{\left(c_{j a t}^{\alpha} \cdot h_{j a t}^{1-\alpha}\right)^{1-\sigma}-1}{1-\sigma}+E_{j a t}\left[V_{j, a+1, t+1}\left(z_{j, a+1, t+1}\right)\right]\end{aligned} - - - - - - \begin{aligned} s.t. h_{j a t} &=h_{j a t}^{\text {rent }} \\ c_{j a t}+s_{j a t}+p_{t}^{r} h_{j a t}^{\text {rent }} &=y_{j a t}+(1-\delta) p_{t} h_{j, a-1, t-1}^{\text {own }}+\left(1+r_{t}\right) s_{j, a-1, t-1}-b_{j, a-1, t-1}\left(1+R_{j, a-1, t-1}\right) \\ h_{j a t}^{\text {own }} &=b_{j a t}=0 \\ s_{j a t} & \geq-\underline{s} \\ \log \left(y_{j a t}\right) &=\chi_{a}+\eta_{j a t}+\phi_{a}\left(y_{t} / y\right) \\ S_{t} &=A_{0}+A_{1} S_{t-1}+u_{t} \end{aligned} - - - -+++ {"slideshow": {"slide_type": "subslide"}} - -# 2. Own & No-adjust Case - - - -\begin{aligned}V_{j a t}\left(z_{j a t}\right)^{\text {own \& no-adjust }}=\max _{c_{j a t}, s_{j a t}} \frac{\left(c_{j a t}^{\alpha} \cdot h_{j a t}^{1-\alpha}\right)^{1-\sigma}-1}{1-\sigma}+E_{j a t}\left[V_{j, a+1, t+1}\left(z_{j, a+1, t+1}\right)\right]\end{aligned} - - - - - - \begin{aligned} s.t. h_{j a t} &=(1-\delta) h_{j, a, t-1}^{\mathrm{own}} \\ c_{j a t}+s_{j a t} &=y_{j a t}+\left(1+r_{t}\right) s_{j, a-1, t-1}-M_{j a t} \\ s_{j a t} & \geq-\underline{s} \\ \log \left(y_{j a t}\right) &=\chi_{a}+\eta_{j a t}+\phi_{a}\left(y_{t} / y\right) \\ S_{t} &=A_{0}+A_{1} S_{t-1}+u_{t} \end{aligned} - - - -+++ {"slideshow": {"slide_type": "subslide"}} - -# 3. Own & Adjust Case - - - -\begin{aligned}V_{j a t}\left(z_{j a t}\right)^{\text {own \& adjust }}=\max _{c_{j a t}, s_{j a t}, h_{j a t}^{\text {own }}, b_{j a t}} \frac{\left(c_{j a t}^{\alpha} \cdot h_{j a t}^{1-\alpha}\right)^{1-\sigma}-1}{1-\sigma}+E_{j a t}\left[V_{j, a+1, t+1}\left(z_{j, a+1, t+1}\right)\right] \end{aligned} - - - - - - \begin{aligned} s.t. h_{j a t} &=h_{j, a}^{\mathrm{own}} \\ b_{j a t} & \leq(1-\phi) p_{t} h_{j a t}^{\mathrm{own}} \\ c_{j a t}+s_{j a t}+p_{t} h_{j a t}^{\mathrm{own}}-b_{j a t}-F &=y_{j a t}+(1-\delta) p_{t} h_{j, a-1, t-1}^{\mathrm{own}}+\left(1+r_{t}\right) s_{j, a-1, t-1}-b_{j, a-1, t-1}\left(1+R_{j, a-1, t-1}\right) \\ s_{j a t} & \geq-\underline{s} \\ \log \left(y_{j a t}\right) &=\chi_{a}+\eta_{j a t}+\phi_{a}\left(y_{t} / y\right) \\ S_{t} &=A_{0}+A_{1} S_{t-1}+u_{t} \end{aligned} - - - -+++ {"slideshow": {"slide_type": "subslide"}} - -# Retirement and Death - -* **Upon death, agent bequasts total new wealth:** - - - -\begin{aligned}W_{j a t}=(1-\delta) p_{t} h_{j, a-1, t-1}^{\mathrm{own}}+\left(1+r_{t}\right) s_{j, a-1, t-1} - \end{aligned} - - - -+++ {"slideshow": {"slide_type": "slide"}} - -# Results - -* **The refinancing and new lending channel** - * **the difference in the consumption responses of the young-old to interest rate shocks** -* **Aging population can significantly dampen the transmission of monetary policy** diff --git a/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/PopAgingMPtransmission.slides.html b/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/PopAgingMPtransmission.slides.html deleted file mode 100644 index 16cfaaf2..00000000 --- a/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/PopAgingMPtransmission.slides.html +++ /dev/null @@ -1,13474 +0,0 @@ - - - - - - - - - - - - -PopAgingMPtransmission slides - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Paper 2: "Population Aging and the Transmission of Monetary Policy to Consumption"
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Arlene Wond (2015)
 -

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Nino Kodua
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Johns Hopkins University
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February 16, 2020

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Overview

    -
  • Research Question: What are the effects of demographic changes on the transmission of monetary policy to consumption?
    • -
  • Part I: Empirical estimate
      -
    • Age-specific consumption elasticities to interest rate
        -
      • Consumption of young people is two-three times more responsive to interest rate shocks
        • -
      • Consumption elasticities decline with age
        • -
      -
      • -
    • Consumption response driven by homeowners
        -
      • refinance or new loans following interest rate decline
        • -
      -
      • -
    -
    • -
  • Part II: Life-cycle model - partial equilibrium overlapping generations economy
      -
    • Uninsurable labor income risk, life-cycle saving motive, fixed-rate mortgage structure
      • -
    • Fixed costs to adjust long-term assets
        -
      • housing and fixed-rate mortgage
        • -
      -
      • -
    -
    • -
- -
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-
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Household's maximization problem

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  • Each period households choose
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    • 1. rent
      • -
    • 2. continue owning a house & not adjust existing mortgage
      • -
    • 3. adjust mortgage and housing stock
      • -
    -
    • -
  • Conditional on the adjustment, households choose
      -
    • non-durable consumption, savings in bonds and mortgage debt -
      - - -\begin{aligned}V_{j a t}\left(z_{j a t}\right)=\max \left\{V_{j a t}\left(z_{j a t}\right)^{\mathrm{rent}}, V_{j a t}\left(z_{j a t}\right)^{\mathrm{own} \& \text { no-adjust }}, V_{j a t}\left(z_{j a t}\right)^{\text {own } \& \text { adjust }}\right\}\end{aligned} - -
      • -
    -
    • -
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- - \begin{aligned} -z_{j a t}=\left\{S_{t}, y_{j a t}, \operatorname{assets}_{j, a-1, t-1}\right\} -\end{aligned} - -

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    -
  • $S_t$ - uncertainty from aggregate state variables
    • -
  • $y_{j a t}$ - uncertainty from idiosyncratic labor income
    • -
- -
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1. Rent Case

- -\begin{aligned}V_{j a t}\left(z_{j a t}\right)^{\mathrm{rent}}=\max _{c_{j a t}, h_{j a t}^{\mathrm{rat}}, s_{j a t}} \frac{\left(c_{j a t}^{\alpha} \cdot h_{j a t}^{1-\alpha}\right)^{1-\sigma}-1}{1-\sigma}+E_{j a t}\left[V_{j, a+1, t+1}\left(z_{j, a+1, t+1}\right)\right]\end{aligned} - -

-

- - \begin{aligned} s.t. h_{j a t} &=h_{j a t}^{\text {rent }} \\ c_{j a t}+s_{j a t}+p_{t}^{r} h_{j a t}^{\text {rent }} &=y_{j a t}+(1-\delta) p_{t} h_{j, a-1, t-1}^{\text {own }}+\left(1+r_{t}\right) s_{j, a-1, t-1}-b_{j, a-1, t-1}\left(1+R_{j, a-1, t-1}\right) \\ h_{j a t}^{\text {own }} &=b_{j a t}=0 \\ s_{j a t} & \geq-\underline{s} \\ \log \left(y_{j a t}\right) &=\chi_{a}+\eta_{j a t}+\phi_{a}\left(y_{t} / y\right) \\ S_{t} &=A_{0}+A_{1} S_{t-1}+u_{t} \end{aligned} - -

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2. Own & No-adjust Case

- -\begin{aligned}V_{j a t}\left(z_{j a t}\right)^{\text {own \& no-adjust }}=\max _{c_{j a t}, s_{j a t}} \frac{\left(c_{j a t}^{\alpha} \cdot h_{j a t}^{1-\alpha}\right)^{1-\sigma}-1}{1-\sigma}+E_{j a t}\left[V_{j, a+1, t+1}\left(z_{j, a+1, t+1}\right)\right]\end{aligned} - -

-

- - \begin{aligned} s.t. h_{j a t} &=(1-\delta) h_{j, a, t-1}^{\mathrm{own}} \\ c_{j a t}+s_{j a t} &=y_{j a t}+\left(1+r_{t}\right) s_{j, a-1, t-1}-M_{j a t} \\ s_{j a t} & \geq-\underline{s} \\ \log \left(y_{j a t}\right) &=\chi_{a}+\eta_{j a t}+\phi_{a}\left(y_{t} / y\right) \\ S_{t} &=A_{0}+A_{1} S_{t-1}+u_{t} \end{aligned} - -

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3. Own & Adjust Case

- -\begin{aligned}V_{j a t}\left(z_{j a t}\right)^{\text {own \& adjust }}=\max _{c_{j a t}, s_{j a t}, h_{j a t}^{\text {own }}, b_{j a t}} \frac{\left(c_{j a t}^{\alpha} \cdot h_{j a t}^{1-\alpha}\right)^{1-\sigma}-1}{1-\sigma}+E_{j a t}\left[V_{j, a+1, t+1}\left(z_{j, a+1, t+1}\right)\right] \end{aligned} - -

-

- - \begin{aligned} s.t. h_{j a t} &=h_{j, a}^{\mathrm{own}} \\ b_{j a t} & \leq(1-\phi) p_{t} h_{j a t}^{\mathrm{own}} \\ c_{j a t}+s_{j a t}+p_{t} h_{j a t}^{\mathrm{own}}-b_{j a t}-F &=y_{j a t}+(1-\delta) p_{t} h_{j, a-1, t-1}^{\mathrm{own}}+\left(1+r_{t}\right) s_{j, a-1, t-1}-b_{j, a-1, t-1}\left(1+R_{j, a-1, t-1}\right) \\ s_{j a t} & \geq-\underline{s} \\ \log \left(y_{j a t}\right) &=\chi_{a}+\eta_{j a t}+\phi_{a}\left(y_{t} / y\right) \\ S_{t} &=A_{0}+A_{1} S_{t-1}+u_{t} \end{aligned} - -

- -
-
-
-
-
-
-

Retirement and Death

    -
  • Upon death, agent bequasts total new wealth:
    • -
-

- -\begin{aligned}W_{j a t}=(1-\delta) p_{t} h_{j, a-1, t-1}^{\mathrm{own}}+\left(1+r_{t}\right) s_{j, a-1, t-1} - \end{aligned} - -

- -
-
-
-
-
-
-

Results

    -
  • The refinancing and new lending channel
      -
    • the difference in the consumption responses of the young-old to interest rate shocks
      • -
    -
    • -
  • Aging population can significantly dampen the transmission of monetary policy
    • -
- -
-
-
-
-
- - - - - - - diff --git a/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/PopAgingMPtransmission_intro.ipynb b/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/PopAgingMPtransmission_intro.ipynb new file mode 100644 index 00000000..933cd857 --- /dev/null +++ b/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/PopAgingMPtransmission_intro.ipynb @@ -0,0 +1,23 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "7067c25d", + "metadata": {}, + "source": [ + "Arlene Wong, 2016, Population Aging and the Transmission of Monetary Policy to Consumption, Research Papers in Economics and Finance\n", + "\n", + "Original ballpark: Nino Kodua — February 2020\n", + "\n", + "Updated by: Nathan Robino — February 2026" + ] + } + ], + "metadata": { + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/PopAgingMPtransmission_prior-literature.ipynb b/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/PopAgingMPtransmission_prior-literature.ipynb new file mode 100644 index 00000000..c7f86771 --- /dev/null +++ b/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/PopAgingMPtransmission_prior-literature.ipynb @@ -0,0 +1,49 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890", + "metadata": {}, + "source": [ + "# Prior Literature\n", + "\n", + "## The papers Wong cites\n", + "\n", + "Based on the bibliography, Wong (2016) appears to have filled several important gaps by synthesizing and extending the existing literature in novel ways:\n", + "\n", + "### Connecting Demographics to Monetary Policy Transmission\n", + "\n", + "Prior work had largely treated these as separate topics. On one hand, papers like Auerbach and Kotlikoff (1984, 1989), Abel (2002), and Ríos-Rull (1996, 2001) studied how demographics affect macroeconomic aggregates like capital accumulation and asset prices. On the other hand, papers like Auclert (2019), Kaplan and Violante (2014), and Di Maggio, Kermani, and Ramcharan (2014) studied how household heterogeneity affects monetary policy transmission. Wong appears to have been among the first to explicitly link population aging to the effectiveness of monetary policy through consumption responses, asking whether an aging population systematically changes how monetary policy works.\n", + "\n", + "### Integrating Multiple Transmission Channels\n", + "\n", + "The literature had identified several channels through which monetary policy affects consumption—housing wealth effects (Mian and Sufi 2013; Berger et al. 2018), mortgage refinancing (Hurst and Stafford 2004; Bhutta and Keys 2016), and redistribution between borrowers and savers (Doepke and Schneider 2006; Auclert 2019). Wong's contribution seems to have been showing how these channels vary systematically with age, since younger households are more likely to be borrowers with adjustable-rate mortgages while older households are more likely to hold interest-bearing assets.\n", + "\n", + "### Policy-Relevant Implications for Aging Societies\n", + "\n", + "While Imam (2015) and Juselius and Takáts (2015) had begun exploring whether demographics weaken monetary policy, Wong appears to have provided a more structural, microeconomic foundation by modeling how life-cycle consumption behavior interacts with monetary transmission. This offered a deeper understanding of why aging might matter, rather than simply documenting correlations.\n", + "\n", + "## Key foundational papers\n", + "\n", + "- **Kaplan and Violante (2014)**, \"A Model of the Consumption Response to Fiscal Stimulus Payments\" - This paper introduced the concept of \"wealthy hand-to-mouth\" households and demonstrated that heterogeneity in household balance sheets, particularly the distinction between liquid and illiquid assets, is crucial for understanding how policy affects consumption. This framework fundamentally shaped how economists think about monetary policy transmission through household heterogeneity, and is central to understanding why age—which correlates strongly with asset composition—matters for policy transmission.\n", + "\n", + "- **Auclert (2019)**, \"Monetary Policy and the Redistribution Channel\" - This paper provided a systematic theoretical framework for understanding how monetary policy affects consumption through redistribution across households with different exposures to interest rate changes. It decomposed the channels through which monetary policy operates (income, wealth, and interest rate exposure) and showed how household heterogeneity determines aggregate policy effectiveness. This directly motivates analyzing how demographic composition affects monetary transmission.\n", + "\n", + "- **Mian, Rao, and Sufi (2013)**, \"Household Balance Sheets, Consumption, and the Economic Slump\" - This empirical paper demonstrated the powerful connection between household balance sheets, housing wealth, and consumption at the regional level during the Great Recession. It established key empirical approaches for linking geographic variation in household financial positions to consumption responses, providing both methodological tools and motivation for studying how household characteristics mediate policy effects." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "name": "python", + "version": "3.11.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/PopAgingMPtransmission_subsequent-literature.ipynb b/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/PopAgingMPtransmission_subsequent-literature.ipynb new file mode 100644 index 00000000..1b1cd7ae --- /dev/null +++ b/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/PopAgingMPtransmission_subsequent-literature.ipynb @@ -0,0 +1,76 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "1af07073", + "metadata": {}, + "source": [ + "# Subsequent Literature\n", + "\n", + "## Papers that cite my ballpark paper\n", + "\n", + "I found 21 papers in LitMaps.\n", + "\n", + "## Research Directions That Emerged\n", + "\n", + "The literature citing Wong (2016) has developed along several interconnected trajectories:\n", + "\n", + "### 1. The Refinancing Channel as a Core Transmission Mechanism\n", + "\n", + "A major strand of research has focused intensively on mortgage refinancing as a key channel through which monetary policy affects household consumption. This includes both empirical work documenting the magnitude of these effects (Di Maggio et al. 2017; Abel and Fuster 2021; Amromin, Bhutta, and Keys 2020) and theoretical work modeling the state-dependent nature of refinancing behavior (Eichenbaum, Rebelo, and Wong 2022; Berger et al. 2021).\n", + "\n", + "### 2. Heterogeneous Agent New Keynesian (HANK) Models\n", + "\n", + "The field has moved decisively toward incorporating household heterogeneity into macroeconomic models of monetary policy. Kaplan, Moll, and Violante (2016) represents a watershed moment, establishing that models with heterogeneous agents produce fundamentally different predictions about monetary transmission than representative agent models. This framework has become the new benchmark for studying monetary policy.\n", + "\n", + "### 3. Regional and State-Dependent Heterogeneity\n", + "\n", + "Researchers have explored how the effects of monetary policy vary across space and time. Beraja et al. (2019) showed that the refinancing channel's strength depends on the regional distribution of housing equity, while Eichenbaum, Rebelo, and Wong (2022) demonstrated that monetary policy effectiveness depends on the state of the economy and the history of interest rates.\n", + "\n", + "### 4. Housing Market Structure and Mortgage Design\n", + "\n", + "Work by Guren, Krishnamurthy, and McQuade (2018) and Greenwald (2016) has examined how the institutional features of mortgage markets—contract terms, prepayment options, down payment requirements—shape monetary transmission. This connects to policy debates about optimal mortgage market design.\n", + "\n", + "### 5. Distributional Consequences of Monetary Policy\n", + "\n", + "Coibion et al. (2017) and the broader literature on monetary policy and inequality have examined how monetary policy affects different households differently, with implications for both efficiency and equity.\n", + "\n", + "---\n", + "\n", + "## What's Cutting-Edge Now\n", + "\n", + "The frontier of this literature appears to be:\n", + "\n", + "- **Path dependence and history dependence**: Understanding how past interest rates and refinancing decisions affect current policy effectiveness (Berger et al. 2021)\n", + "- **Endogenous housing and mortgage choices**: Models where households' housing tenure and mortgage decisions respond to policy, creating feedback effects (Kinnerud 2025; Guren et al. 2018)\n", + "- **Quantitative HANK models**: Calibrated models that can match micro-level consumption and balance sheet data while generating realistic aggregate dynamics\n", + "- **Interaction of multiple channels**: How refinancing, wealth effects, income effects, and redistribution channels interact and potentially offset each other\n", + "\n", + "---\n", + "\n", + "## Most Important Papers for Understanding Where the Field Is Heading\n", + "\n", + "### 1. Eichenbaum, Rebelo, and Wong (2022), \"State-Dependent Effects of Monetary Policy: The Refinancing Channel\"\n", + "\n", + "This paper (co-authored by Wong herself) represents a direct extension of the 2016 work. It demonstrates that monetary policy's effectiveness varies substantially depending on the distribution of existing mortgage rates in the economy. When many households have mortgages with rates above current market rates, monetary easing is powerful; when most have already refinanced, the channel is muted. This state dependence has profound implications for how central banks should think about policy in different environments and connects to debates about forward guidance and quantitative easing.\n", + "\n", + "### 2. Beraja, Fuster, Hurst, and Vavra (2019), \"Regional Heterogeneity and the Refinancing Channel of Monetary Policy\"\n", + "\n", + "This paper showed empirically that the refinancing channel's strength depends critically on local housing market conditions. Regions where homeowners had negative or low equity could not refinance even when rates fell, weakening monetary transmission precisely where stimulus was most needed. This geographic heterogeneity has important implications for understanding why monetary policy may have limited effectiveness following housing busts and connects to policy discussions about programs like HARP.\n", + "\n", + "### 3. Berger, Milbradt, Tourre, and Vavra (2021), \"Mortgage Prepayment and Path-Dependent Effects of Monetary Policy\"\n", + "\n", + "This paper develops a structural model showing how the history of interest rates affects the current distribution of mortgage rates, creating path dependence in monetary policy effectiveness. It provides a rigorous framework for understanding why the \"refinancing channel\" varies over time and offers tools for quantifying how past policy decisions constrain current policy options. This represents the cutting edge of integrating mortgage market microstructure into macroeconomic models.\n", + "\n", + "---\n" + ] + } + ], + "metadata": { + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/PopAgingMPtransmission_summary.ipynb b/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/PopAgingMPtransmission_summary.ipynb index f8389b34..572393ee 100644 --- a/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/PopAgingMPtransmission_summary.ipynb +++ b/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/PopAgingMPtransmission_summary.ipynb @@ -1,207 +1,228 @@ { - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Paper Summary" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Prior Literature and Motivation\n", + "\n", + "Demographics and monetary policy transmission had been studied in largely separate literatures. Work on demographics ({cite:t}`Auerbach1984-qt,Auerbach1989-nb`; {cite:t}`Rios-Rull1996-jp,Rios-Rull2001-fa`) analyzed how aging affects capital accumulation and asset prices, while work on transmission ({cite:t}`Kaplan2014-ee`; {cite:t}`Auclert2019-dr`; {cite:t}`Mian2013-wr`) showed how household balance-sheet heterogeneity shapes consumption responses to interest rates. A small literature ({cite:t}`Imam2015-ee`; {cite:t}`Juselius2015-dk`) had documented correlations between aging and weaker monetary transmission, but without structural foundations. {cite:t}`Wong2016-ud` was among the first to explicitly link population aging to monetary policy effectiveness through age-varying consumption responses.\n", + "\n", + "*For a more detailed discussion of the prior literature, see [Prior Literature](PopAgingMPtransmission_prior-literature.ipynb).*" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Overview\n", + "\n", + "* **Research Question: What are the effects of demographic changes on the transmission of monetary policy to consumption?**\n", + "* **Part I: Empirical estimate**\n", + " * **Age-specific consumption elasticities to interest rate**\n", + " * **Consumption of young people is two-three times more responsive to interest rate shocks**\n", + " * **Consumption elasticities decline with age**\n", + " * **Consumption response driven by homeowners**\n", + " * **refinance or new loans following interest rate decline**\n", + "* **Part II: Life-cycle model - partial equilibrium overlapping generations economy**\n", + " * **Uninsurable labor income risk, life-cycle saving motive, fixed-rate mortgage structure**\n", + " * **Fixed costs to adjust long-term assets**\n", + " * **housing and fixed-rate mortgage**" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Household's maximization problem\n", + "\n", + "* **Each period households choose**\n", + " * **1. rent**\n", + " * **2. continue owning a house & not adjust existing mortgage**\n", + " * **3. adjust mortgage and housing stock**\n", + "* **Conditional on the adjustment, households choose**\n", + " * **non-durable consumption, savings in bonds and mortgage debt**\n", + "\n", + "$$\n", + "\\begin{aligned}\n", + "V_{j a t}\\left(z_{j a t}\\right)=\\max \\left\\{V_{j a t}\\left(z_{j a t}\\right)^{\\mathrm{rent}}, V_{j a t}\\left(z_{j a t}\\right)^{\\mathrm{own} \\& \\text{no-adjust}}, V_{j a t}\\left(z_{j a t}\\right)^{\\text{own} \\& \\text{adjust}}\\right\\}\n", + "\\end{aligned}\n", + "$$\n", + "\n", + "$$\n", + "\\begin{aligned}\n", + "z_{j a t}=\\left\\{S_{t}, y_{j a t}, \\operatorname{assets}_{j, a-1, t-1}\\right\\}\n", + "\\end{aligned}\n", + "$$\n", + "\n", + "* **$S_t$ - uncertainty from aggregate state variables**\n", + "* **$y_{j a t}$ - uncertainty from idiosyncratic labor income**" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "## 1. Rent Case\n", + "\n", + "$$\n", + "\\begin{aligned}\n", + "V_{j a t}\\left(z_{j a t}\\right)^{\\mathrm{rent}}=\\max _{c_{j a t}, h_{j a t}^{\\mathrm{rent}}, s_{j a t}} \\frac{\\left(c_{j a t}^{\\alpha} \\cdot h_{j a t}^{1-\\alpha}\\right)^{1-\\sigma}-1}{1-\\sigma}+E_{j a t}\\left[V_{j, a+1, t+1}\\left(z_{j, a+1, t+1}\\right)\\right]\n", + "\\end{aligned}\n", + "$$\n", + "\n", + "$$\n", + "\\begin{aligned}\n", + "\\text{s.t.} \\quad h_{j a t} &= h_{j a t}^{\\text{rent}} \\\\\n", + "c_{j a t}+s_{j a t}+p_{t}^{r} h_{j a t}^{\\text{rent}} &= y_{j a t}+(1-\\delta) p_{t} h_{j, a-1, t-1}^{\\text{own}}+\\left(1+r_{t}\\right) s_{j, a-1, t-1}-b_{j, a-1, t-1}\\left(1+R_{j, a-1, t-1}\\right) \\\\\n", + "h_{j a t}^{\\text{own}} &= b_{j a t}=0 \\\\\n", + "s_{j a t} &\\geq -\\underline{s} \\\\\n", + "\\log \\left(y_{j a t}\\right) &= \\chi_{a}+\\eta_{j a t}+\\phi_{a}\\left(y_{t} / y\\right) \\\\\n", + "S_{t} &= A_{0}+A_{1} S_{t-1}+u_{t}\n", + "\\end{aligned}\n", + "$$" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "## 2. Own & No-adjust Case\n", + "\n", + "$$\n", + "\\begin{aligned}\n", + "V_{j a t}\\left(z_{j a t}\\right)^{\\text{own \\& no-adjust}}=\\max _{c_{j a t}, s_{j a t}} \\frac{\\left(c_{j a t}^{\\alpha} \\cdot h_{j a t}^{1-\\alpha}\\right)^{1-\\sigma}-1}{1-\\sigma}+E_{j a t}\\left[V_{j, a+1, t+1}\\left(z_{j, a+1, t+1}\\right)\\right]\n", + "\\end{aligned}\n", + "$$\n", + "\n", + "$$\n", + "\\begin{aligned}\n", + "\\text{s.t.} \\quad h_{j a t} &= (1-\\delta) h_{j, a, t-1}^{\\mathrm{own}} \\\\\n", + "c_{j a t}+s_{j a t} &= y_{j a t}+\\left(1+r_{t}\\right) s_{j, a-1, t-1}-M_{j a t} \\\\\n", + "s_{j a t} &\\geq -\\underline{s} \\\\\n", + "\\log \\left(y_{j a t}\\right) &= \\chi_{a}+\\eta_{j a t}+\\phi_{a}\\left(y_{t} / y\\right) \\\\\n", + "S_{t} &= A_{0}+A_{1} S_{t-1}+u_{t}\n", + "\\end{aligned}\n", + "$$" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "## 3. Own & Adjust Case\n", + "\n", + "$$\n", + "\\begin{aligned}\n", + "V_{j a t}\\left(z_{j a t}\\right)^{\\text{own \\& adjust}}=\\max _{c_{j a t}, s_{j a t}, h_{j a t}^{\\text{own}}, b_{j a t}} \\frac{\\left(c_{j a t}^{\\alpha} \\cdot h_{j a t}^{1-\\alpha}\\right)^{1-\\sigma}-1}{1-\\sigma}+E_{j a t}\\left[V_{j, a+1, t+1}\\left(z_{j, a+1, t+1}\\right)\\right]\n", + "\\end{aligned}\n", + "$$\n", + "\n", + "$$\n", + "\\begin{aligned}\n", + "\\text{s.t.} \\quad h_{j a t} &= h_{j, a}^{\\mathrm{own}} \\\\\n", + "b_{j a t} &\\leq (1-\\phi) p_{t} h_{j a t}^{\\mathrm{own}} \\\\\n", + "c_{j a t}+s_{j a t}+p_{t} h_{j a t}^{\\mathrm{own}}-b_{j a t}-F &= y_{j a t}+(1-\\delta) p_{t} h_{j, a-1, t-1}^{\\mathrm{own}}+\\left(1+r_{t}\\right) s_{j, a-1, t-1}-b_{j, a-1, t-1}\\left(1+R_{j, a-1, t-1}\\right) \\\\\n", + "s_{j a t} &\\geq -\\underline{s} \\\\\n", + "\\log \\left(y_{j a t}\\right) &= \\chi_{a}+\\eta_{j a t}+\\phi_{a}\\left(y_{t} / y\\right) \\\\\n", + "S_{t} &= A_{0}+A_{1} S_{t-1}+u_{t}\n", + "\\end{aligned}\n", + "$$" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "## Retirement and Death\n", + "\n", + "* **Upon death, agent bequests total new wealth:**\n", + "\n", + "$$\n", + "\\begin{aligned}\n", + "W_{j a t}=(1-\\delta) p_{t} h_{j, a-1, t-1}^{\\mathrm{own}}+\\left(1+r_{t}\\right) s_{j, a-1, t-1}\n", + "\\end{aligned}\n", + "$$" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Results\n", + "\n", + "* **The refinancing and new lending channel** \n", + " * **the difference in the consumption responses of the young-old to interest rate shocks**\n", + "* **Aging population can significantly dampen the transmission of monetary policy** " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Subsequent Literature and Research Directions\n", + "\n", + "The literature following {cite:t}`Wong2016-ud` has deepened understanding of the refinancing channel as a state- and region-dependent mechanism ({cite:t}`statedependent_eichenbaum_2022`; {cite:t}`regional_beraja_2019`; {cite:t}`mortgage_berger_2021`), extended the framework into heterogeneous-agent New Keynesian (HANK) models ({cite:t}`monetary_kaplan_2016`), and examined how mortgage market design and distributional consequences shape transmission ({cite:t}`mortgage_guren_2018`; {cite:t}`innocent_coibion_2017`).\n", + "\n", + "*For a more detailed discussion of the subsequent literature, see [Subsequent Literature](PopAgingMPtransmission_subsequent-literature.ipynb).*" + ] } - }, - "source": [ - "

Paper 2: \"Population Aging and the Transmission of Monetary Policy to Consumption\"
\n", - "

\n", - "
Arlene Wond (2015)
\n", - "

\n", - "
Nino Kodua
\n", - "

\n", - "
Johns Hopkins University
\n", - "

\n", - "
February 16, 2020
" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "# Overview\n", - "\n", - "* **Research Question: What are the effects of demographic changes on the transmission of monetary policy to consumption?**\n", - "* **Part I: Empirical estimate**\n", - " * **Age-specific consumption elasticities to interest rate**\n", - " * **Consumption of young people is two-three times more responsive to interest rate shocks**\n", - " * **Consumption elasticities decline with age**\n", - " * **Consumption response driven by homeowners**\n", - " * **refinance or new loans following interest rate decline**\n", - "* **Part II: Life-cycle model - partial equilibrium overlapping generations economy**\n", - " * **Uninsurable labor income risk, life-cycle saving motive, fixed-rate mortgage structure**\n", - " * **Fixed costs to adjust long-term assets**\n", - " * **housing and fixed-rate mortgage**" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" - } - }, - "source": [ - "# Household's maximization problem\n", - "\n", - "* **Each period households choose**\n", - " * **1. rent**\n", - " * **2. continue owning a house & not adjust existing mortgage**\n", - " * **3. adjust mortgage and housing stock**\n", - "* **Conditional on the adjustment, households choose**\n", - " * **non-durable consumption, savings in bonds and mortgage debt**\n", - "
\n", - "\n", - " \n", - "\\begin{aligned}V_{j a t}\\left(z_{j a t}\\right)=\\max \\left\\{V_{j a t}\\left(z_{j a t}\\right)^{\\mathrm{rent}}, V_{j a t}\\left(z_{j a t}\\right)^{\\mathrm{own} \\& \\text { no-adjust }}, V_{j a t}\\left(z_{j a t}\\right)^{\\text {own } \\& \\text { adjust }}\\right\\}\\end{aligned} \n", - " \n", - " \n", - "\n", - "\n", - " \n", - " \\begin{aligned}\n", - "z_{j a t}=\\left\\{S_{t}, y_{j a t}, \\operatorname{assets}_{j, a-1, t-1}\\right\\}\n", - "\\end{aligned} \n", - " \n", - " \n", - "\n", - "* **$S_t$ - uncertainty from aggregate state variables**\n", - "* **$y_{j a t}$ - uncertainty from idiosyncratic labor income**" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "subslide" - } - }, - "source": [ - "# 1. Rent Case\n", - "\n", - "\n", - " \n", - "\\begin{aligned}V_{j a t}\\left(z_{j a t}\\right)^{\\mathrm{rent}}=\\max _{c_{j a t}, h_{j a t}^{\\mathrm{rat}}, s_{j a t}} \\frac{\\left(c_{j a t}^{\\alpha} \\cdot h_{j a t}^{1-\\alpha}\\right)^{1-\\sigma}-1}{1-\\sigma}+E_{j a t}\\left[V_{j, a+1, t+1}\\left(z_{j, a+1, t+1}\\right)\\right]\\end{aligned} \n", - " \n", - " \n", - "\n", - "\n", - " \n", - " \\begin{aligned} s.t. h_{j a t} &=h_{j a t}^{\\text {rent }} \\\\ c_{j a t}+s_{j a t}+p_{t}^{r} h_{j a t}^{\\text {rent }} &=y_{j a t}+(1-\\delta) p_{t} h_{j, a-1, t-1}^{\\text {own }}+\\left(1+r_{t}\\right) s_{j, a-1, t-1}-b_{j, a-1, t-1}\\left(1+R_{j, a-1, t-1}\\right) \\\\ h_{j a t}^{\\text {own }} &=b_{j a t}=0 \\\\ s_{j a t} & \\geq-\\underline{s} \\\\ \\log \\left(y_{j a t}\\right) &=\\chi_{a}+\\eta_{j a t}+\\phi_{a}\\left(y_{t} / y\\right) \\\\ S_{t} &=A_{0}+A_{1} S_{t-1}+u_{t} \\end{aligned}\n", - " \n", - " " - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "subslide" - } - }, - "source": [ - "# 2. Own & No-adjust Case\n", - "\n", - "\n", - " \n", - "\\begin{aligned}V_{j a t}\\left(z_{j a t}\\right)^{\\text {own \\& no-adjust }}=\\max _{c_{j a t}, s_{j a t}} \\frac{\\left(c_{j a t}^{\\alpha} \\cdot h_{j a t}^{1-\\alpha}\\right)^{1-\\sigma}-1}{1-\\sigma}+E_{j a t}\\left[V_{j, a+1, t+1}\\left(z_{j, a+1, t+1}\\right)\\right]\\end{aligned} \n", - " \n", - " \n", - "\n", - "\n", - " \n", - " \\begin{aligned} s.t. h_{j a t} &=(1-\\delta) h_{j, a, t-1}^{\\mathrm{own}} \\\\ c_{j a t}+s_{j a t} &=y_{j a t}+\\left(1+r_{t}\\right) s_{j, a-1, t-1}-M_{j a t} \\\\ s_{j a t} & \\geq-\\underline{s} \\\\ \\log \\left(y_{j a t}\\right) &=\\chi_{a}+\\eta_{j a t}+\\phi_{a}\\left(y_{t} / y\\right) \\\\ S_{t} &=A_{0}+A_{1} S_{t-1}+u_{t} \\end{aligned}\n", - " \n", - " " - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "subslide" - } - }, - "source": [ - "# 3. Own & Adjust Case\n", - "\n", - "\n", - " \n", - "\\begin{aligned}V_{j a t}\\left(z_{j a t}\\right)^{\\text {own \\& adjust }}=\\max _{c_{j a t}, s_{j a t}, h_{j a t}^{\\text {own }}, b_{j a t}} \\frac{\\left(c_{j a t}^{\\alpha} \\cdot h_{j a t}^{1-\\alpha}\\right)^{1-\\sigma}-1}{1-\\sigma}+E_{j a t}\\left[V_{j, a+1, t+1}\\left(z_{j, a+1, t+1}\\right)\\right] \\end{aligned} \n", - " \n", - " \n", - "\n", - "\n", - " \n", - " \\begin{aligned} s.t. h_{j a t} &=h_{j, a}^{\\mathrm{own}} \\\\ b_{j a t} & \\leq(1-\\phi) p_{t} h_{j a t}^{\\mathrm{own}} \\\\ c_{j a t}+s_{j a t}+p_{t} h_{j a t}^{\\mathrm{own}}-b_{j a t}-F &=y_{j a t}+(1-\\delta) p_{t} h_{j, a-1, t-1}^{\\mathrm{own}}+\\left(1+r_{t}\\right) s_{j, a-1, t-1}-b_{j, a-1, t-1}\\left(1+R_{j, a-1, t-1}\\right) \\\\ s_{j a t} & \\geq-\\underline{s} \\\\ \\log \\left(y_{j a t}\\right) &=\\chi_{a}+\\eta_{j a t}+\\phi_{a}\\left(y_{t} / y\\right) \\\\ S_{t} &=A_{0}+A_{1} S_{t-1}+u_{t} \\end{aligned} \n", - " \n", - " " - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "subslide" - } - }, - "source": [ - "# Retirement and Death\n", - "\n", - "* **Upon death, agent bequasts total new wealth:**\n", - "\n", - "\n", - " \n", - "\\begin{aligned}W_{j a t}=(1-\\delta) p_{t} h_{j, a-1, t-1}^{\\mathrm{own}}+\\left(1+r_{t}\\right) s_{j, a-1, t-1}\n", - " \\end{aligned} \n", - " \n", - " " - ] - }, - { - "cell_type": "markdown", - "metadata": { - "slideshow": { - "slide_type": "slide" + ], + "metadata": { + "celltoolbar": "Slideshow", + "kernelspec": { + "display_name": ".venv-linux-x86_64", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.3" } - }, - "source": [ - "# Results\n", - "\n", - "* **The refinancing and new lending channel** \n", - " * **the difference in the consumption responses of the young-old to interest rate shocks**\n", - "* **Aging population can significantly dampen the transmission of monetary policy** " - ] - } - ], - "metadata": { - "celltoolbar": "Slideshow", - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.3" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} + "nbformat": 4, + "nbformat_minor": 2 +} \ No newline at end of file diff --git a/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/index.md b/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/index.md new file mode 100644 index 00000000..75cc951b --- /dev/null +++ b/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/index.md @@ -0,0 +1,15 @@ +--- +title: "Population Aging and the Transmission of Monetary Policy to Consumption -- Ballpark Entry" +--- + +```{include} PopAgingMPtransmission_intro.ipynb +``` + +```{include} PopAgingMPtransmission_summary.ipynb +``` + +```{include} PopAgingMPtransmission_prior-literature.md +``` + +```{include} PopAgingMPtransmission_subsequent-literature.md +``` \ No newline at end of file diff --git a/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/myst.yml b/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/myst.yml new file mode 100644 index 00000000..e140b362 --- /dev/null +++ b/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/myst.yml @@ -0,0 +1,14 @@ +version: 1 +project: + title: "Population Aging and the Transmission of Monetary Policy to Consumption — Ballpark Entry" + bibliography: + - self.bib + - references.bib + - subsequent-literature.bib + toc: + - file: PopAgingMPtransmission_intro.ipynb + - file: PopAgingMPtransmission_prior-literature.ipynb + - file: PopAgingMPtransmission_summary.ipynb + - file: PopAgingMPtransmission_subsequent-literature.ipynb +site: + title: "Population Aging and the Transmission of Monetary Policy to Consumption — Ballpark Entry" \ No newline at end of file diff --git a/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/prior-literature.md b/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/prior-literature.md deleted file mode 100644 index f39c1ff2..00000000 --- a/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/prior-literature.md +++ /dev/null @@ -1,25 +0,0 @@ -# Prior Literature Summary: "Population Aging and the Transmission of Monetary Policy to Consumption", by Arlene Wong - -## The papers Wong cites - -Based on the bibliography, Wong (2016) appears to have filled several important gaps by synthesizing and extending the existing literature in novel ways: - -### Connecting Demographics to Monetary Policy Transmission - -Prior work had largely treated these as separate topics. On one hand, papers like Auerbach and Kotlikoff (1984, 1989), Abel (2002), and Ríos-Rull (1996, 2001) studied how demographics affect macroeconomic aggregates like capital accumulation and asset prices. On the other hand, papers like Auclert (2019), Kaplan and Violante (2014), and Di Maggio, Kermani, and Ramcharan (2014) studied how household heterogeneity affects monetary policy transmission. Wong appears to have been among the first to explicitly link population aging to the effectiveness of monetary policy through consumption responses, asking whether an aging population systematically changes how monetary policy works. - -### Integrating Multiple Transmission Channels - -The literature had identified several channels through which monetary policy affects consumption—housing wealth effects (Mian and Sufi 2013; Berger et al. 2018), mortgage refinancing (Hurst and Stafford 2004; Bhutta and Keys 2016), and redistribution between borrowers and savers (Doepke and Schneider 2006; Auclert 2019). Wong's contribution seems to have been showing how these channels vary systematically with age, since younger households are more likely to be borrowers with adjustable-rate mortgages while older households are more likely to hold interest-bearing assets. - -### Policy-Relevant Implications for Aging Societies - -While Imam (2015) and Juselius and Takáts (2015) had begun exploring whether demographics weaken monetary policy, Wong appears to have provided a more structural, microeconomic foundation by modeling how life-cycle consumption behavior interacts with monetary transmission. This offered a deeper understanding of why aging might matter, rather than simply documenting correlations. - -## Key foundational papers - -- **Kaplan and Violante (2014)**, "A Model of the Consumption Response to Fiscal Stimulus Payments" - This paper introduced the concept of "wealthy hand-to-mouth" households and demonstrated that heterogeneity in household balance sheets, particularly the distinction between liquid and illiquid assets, is crucial for understanding how policy affects consumption. This framework fundamentally shaped how economists think about monetary policy transmission through household heterogeneity, and is central to understanding why age—which correlates strongly with asset composition—matters for policy transmission. - -- **Auclert (2019)**, "Monetary Policy and the Redistribution Channel" - This paper provided a systematic theoretical framework for understanding how monetary policy affects consumption through redistribution across households with different exposures to interest rate changes. It decomposed the channels through which monetary policy operates (income, wealth, and interest rate exposure) and showed how household heterogeneity determines aggregate policy effectiveness. This directly motivates analyzing how demographic composition affects monetary transmission. - -- **Mian, Rao, and Sufi (2013)**, "Household Balance Sheets, Consumption, and the Economic Slump" - This empirical paper demonstrated the powerful connection between household balance sheets, housing wealth, and consumption at the regional level during the Great Recession. It established key empirical approaches for linking geographic variation in household financial positions to consumption responses, providing both methodological tools and motivation for studying how household characteristics mediate policy effects. \ No newline at end of file diff --git a/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/bibliography.bib b/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/references.bib similarity index 99% rename from models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/bibliography.bib rename to models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/references.bib index eb55a3de..730f87b3 100755 --- a/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/bibliography.bib +++ b/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/references.bib @@ -155,14 +155,6 @@ @TECHREPORT{Auerbach1984-qt year = 1984 } -@ARTICLE{Wong2016-ud, - title = "Population aging and the transmission of monetary policy to - consumption", - author = "Wong, Arlene", - journal = "Res. Pap. Econ. Fin.", - year = 2016 -} - @ARTICLE{Coibion2015-jb, title = "The cyclicality of sales, regular and effective prices: Business cycle and policy implications", diff --git a/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/self.bib b/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/self.bib new file mode 100644 index 00000000..22ea1fa9 --- /dev/null +++ b/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/self.bib @@ -0,0 +1,7 @@ +@ARTICLE{Wong2016-ud, + title = "Population aging and the transmission of monetary policy to + consumption", + author = "Wong, Arlene", + journal = "Res. Pap. Econ. Fin.", + year = 2016 +} \ No newline at end of file diff --git a/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/subsequent-literature-analysis.md b/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/subsequent-literature-analysis.md deleted file mode 100644 index ad0bab4a..00000000 --- a/models/We-Would-Like-In-Econ-ARK/PopAgingMPtransmission/subsequent-literature-analysis.md +++ /dev/null @@ -1,58 +0,0 @@ -# Subsequent Literature Analysis: "Population Aging and the Transmission of Monetary Policy to Consumption" - -## Papers that cite my ballpark paper - -I found 21 papers in LitMaps. - -## Research Directions That Emerged - -The literature citing Wong (2016) has developed along several interconnected trajectories: - -### 1. The Refinancing Channel as a Core Transmission Mechanism - -A major strand of research has focused intensively on mortgage refinancing as a key channel through which monetary policy affects household consumption. This includes both empirical work documenting the magnitude of these effects (Di Maggio et al. 2017; Abel and Fuster 2021; Amromin, Bhutta, and Keys 2020) and theoretical work modeling the state-dependent nature of refinancing behavior (Eichenbaum, Rebelo, and Wong 2022; Berger et al. 2021). - -### 2. Heterogeneous Agent New Keynesian (HANK) Models - -The field has moved decisively toward incorporating household heterogeneity into macroeconomic models of monetary policy. Kaplan, Moll, and Violante (2016) represents a watershed moment, establishing that models with heterogeneous agents produce fundamentally different predictions about monetary transmission than representative agent models. This framework has become the new benchmark for studying monetary policy. - -### 3. Regional and State-Dependent Heterogeneity - -Researchers have explored how the effects of monetary policy vary across space and time. Beraja et al. (2019) showed that the refinancing channel's strength depends on the regional distribution of housing equity, while Eichenbaum, Rebelo, and Wong (2022) demonstrated that monetary policy effectiveness depends on the state of the economy and the history of interest rates. - -### 4. Housing Market Structure and Mortgage Design - -Work by Guren, Krishnamurthy, and McQuade (2018) and Greenwald (2016) has examined how the institutional features of mortgage markets—contract terms, prepayment options, down payment requirements—shape monetary transmission. This connects to policy debates about optimal mortgage market design. - -### 5. Distributional Consequences of Monetary Policy - -Coibion et al. (2017) and the broader literature on monetary policy and inequality have examined how monetary policy affects different households differently, with implications for both efficiency and equity. - ---- - -## What's Cutting-Edge Now - -The frontier of this literature appears to be: - -- **Path dependence and history dependence**: Understanding how past interest rates and refinancing decisions affect current policy effectiveness (Berger et al. 2021) -- **Endogenous housing and mortgage choices**: Models where households' housing tenure and mortgage decisions respond to policy, creating feedback effects (Kinnerud 2025; Guren et al. 2018) -- **Quantitative HANK models**: Calibrated models that can match micro-level consumption and balance sheet data while generating realistic aggregate dynamics -- **Interaction of multiple channels**: How refinancing, wealth effects, income effects, and redistribution channels interact and potentially offset each other - ---- - -## Most Important Papers for Understanding Where the Field Is Heading - -### 1. Eichenbaum, Rebelo, and Wong (2022), "State-Dependent Effects of Monetary Policy: The Refinancing Channel" - -This paper (co-authored by Wong herself) represents a direct extension of the 2016 work. It demonstrates that monetary policy's effectiveness varies substantially depending on the distribution of existing mortgage rates in the economy. When many households have mortgages with rates above current market rates, monetary easing is powerful; when most have already refinanced, the channel is muted. This state dependence has profound implications for how central banks should think about policy in different environments and connects to debates about forward guidance and quantitative easing. - -### 2. Beraja, Fuster, Hurst, and Vavra (2019), "Regional Heterogeneity and the Refinancing Channel of Monetary Policy" - -This paper showed empirically that the refinancing channel's strength depends critically on local housing market conditions. Regions where homeowners had negative or low equity could not refinance even when rates fell, weakening monetary transmission precisely where stimulus was most needed. This geographic heterogeneity has important implications for understanding why monetary policy may have limited effectiveness following housing busts and connects to policy discussions about programs like HARP. - -### 3. Berger, Milbradt, Tourre, and Vavra (2021), "Mortgage Prepayment and Path-Dependent Effects of Monetary Policy" - -This paper develops a structural model showing how the history of interest rates affects the current distribution of mortgage rates, creating path dependence in monetary policy effectiveness. It provides a rigorous framework for understanding why the "refinancing channel" varies over time and offers tools for quantifying how past policy decisions constrain current policy options. This represents the cutting edge of integrating mortgage market microstructure into macroeconomic models. - ---- From 757e9f03b7fedbecffdeb0633de60c3b2a421956 Mon Sep 17 00:00:00 2001 From: nathanrobino Date: Tue, 24 Feb 2026 11:53:00 -0500 Subject: [PATCH 4/7] Add Dupor et al 2023 ball park --- .../Dupor2023-bn/Dupor2023-bn_intro.ipynb | 21 + .../Dupor2023-bn_prior-literature.ipynb | 54 + .../Dupor2023-bn_subsequent-literature.ipynb | 57 + .../Dupor2023-bn/Dupor2023-bn_summary.ipynb | 167 ++ .../Dupor2023-bn/figures/irfs.jpg | Bin 0 -> 192330 bytes .../Dupor2023-bn/index.md | 15 + .../Dupor2023-bn/myst.yml | 14 + .../Dupor2023-bn/references.bib | 1363 +++++++++++++++++ .../Dupor2023-bn/self.bib | 26 + .../Dupor2023-bn/source/Dupor-bn.pdf | Bin 0 -> 4002899 bytes .../Dupor2023-bn/subsequent-literature.bib | 281 ++++ 11 files changed, 1998 insertions(+) create mode 100644 models/We-Would-Like-In-Econ-ARK/Dupor2023-bn/Dupor2023-bn_intro.ipynb create mode 100644 models/We-Would-Like-In-Econ-ARK/Dupor2023-bn/Dupor2023-bn_prior-literature.ipynb create mode 100644 models/We-Would-Like-In-Econ-ARK/Dupor2023-bn/Dupor2023-bn_subsequent-literature.ipynb create mode 100644 models/We-Would-Like-In-Econ-ARK/Dupor2023-bn/Dupor2023-bn_summary.ipynb create mode 100644 models/We-Would-Like-In-Econ-ARK/Dupor2023-bn/figures/irfs.jpg create mode 100644 models/We-Would-Like-In-Econ-ARK/Dupor2023-bn/index.md create mode 100644 models/We-Would-Like-In-Econ-ARK/Dupor2023-bn/myst.yml create mode 100644 models/We-Would-Like-In-Econ-ARK/Dupor2023-bn/references.bib create mode 100644 models/We-Would-Like-In-Econ-ARK/Dupor2023-bn/self.bib create mode 100644 models/We-Would-Like-In-Econ-ARK/Dupor2023-bn/source/Dupor-bn.pdf create mode 100644 models/We-Would-Like-In-Econ-ARK/Dupor2023-bn/subsequent-literature.bib diff --git a/models/We-Would-Like-In-Econ-ARK/Dupor2023-bn/Dupor2023-bn_intro.ipynb b/models/We-Would-Like-In-Econ-ARK/Dupor2023-bn/Dupor2023-bn_intro.ipynb new file mode 100644 index 00000000..518e30ec --- /dev/null +++ b/models/We-Would-Like-In-Econ-ARK/Dupor2023-bn/Dupor2023-bn_intro.ipynb @@ -0,0 +1,21 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "7067c25d", + "metadata": {}, + "source": [ + "Dupor, Bill and Karabarbounis, Marios and Kudlyak, Marianna and Saif Mehkari, M, Regional Consumption Responses and the Aggregate Fiscal Multiplier\n", + "\n", + "Original ballpark: Nathan Robino — February 2026" + ] + } + ], + "metadata": { + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/models/We-Would-Like-In-Econ-ARK/Dupor2023-bn/Dupor2023-bn_prior-literature.ipynb b/models/We-Would-Like-In-Econ-ARK/Dupor2023-bn/Dupor2023-bn_prior-literature.ipynb new file mode 100644 index 00000000..be653a33 --- /dev/null +++ b/models/We-Would-Like-In-Econ-ARK/Dupor2023-bn/Dupor2023-bn_prior-literature.ipynb @@ -0,0 +1,54 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Prior literature summary\n", + "\n", + "{cite:t}`Dupor2023-bn` builds directly on two empirical traditions in fiscal macroeconomics. First, a large ARRA-based regional literature developed causal estimates of local spending effects using plausibly exogenous allocation rules and IV strategies (for example, {cite:t}`Wilson2012-bc`; {cite:t}`Chodorow-Reich2012-bo`; {cite:t}`Conley2013-ca`; {cite:t}`Leduc2017-yn`; {cite:t}`Dupor2018-zh`; {cite:t}`Auerbach2019-pi`; and {cite:t}`Chodorow-Reich2019-zl`). These papers established that cross-region fiscal shocks can raise local employment, wages, and activity, while also emphasizing spillovers and aggregation issues. In parallel, identification work ({cite:t}`Ramey2009-jx,Ramey2016-tn,Ramey2019-go`; {cite:t}`Nakamura2011-dw`; see also {cite:t}`Nakamura2018-wz`) clarified how to interpret local multipliers versus national multipliers and why cross-sectional estimates are informative but not automatically sufficient for aggregate policy conclusions.\n", + "\n", + "The paper also relies on a major theoretical shift from representative-agent models toward heterogeneous-agent, incomplete-markets New Keynesian frameworks. Classic incomplete-markets foundations ({cite:t}`Huggett1993-ft,Aiyagari1994-qp`) and later HANK advances ({cite:t}`Kaplan2014-ee`; {cite:t}`Kaplan2018-sr`; {cite:t}`Auclert2018-ii`; {cite:t}`Auclert2019-dr`; {cite:t}`Hagedorn2019-op`) showed that incomplete risk sharing, liquidity constraints, and MPC heterogeneity are central for fiscal transmission, especially near the zero lower bound (also in {cite:t}`Christiano2011-ro`; {cite:t}`Woodford2011-jp`; {cite:t}`Eggertsson2009-yu`; {cite:t}`Farhi2012-oe`). Empirical household-spending evidence from rebates and balance-sheet shocks ({cite:t}`Sahm2010-sz,Sahm2011-ta`; {cite:t}`Parker2013-py`; {cite:t}`Mian2013-wr`; {cite:t}`Jappelli2014-og`) made these mechanisms quantitatively credible. Together, this literature made Dupor et al.'s strategy possible: estimate local consumption responses in rich micro data, then map them to aggregate multipliers in a multi-region HANK model with trade linkages and incomplete risk sharing.\n", + "" + ], + "id": "eadff64f" + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 5 foundational papers \n", + "\n", + "1. **Aiyagari (1994), _Uninsured Idiosyncratic Risk and Aggregate Saving_** *(Incomplete-markets foundation)* \n", + " Canonical heterogeneous-agent benchmark showing how uninsurable risk and borrowing constraints shape aggregate outcomes; foundational for later HANK fiscal analysis.\n", + "\n", + "2. **Christiano, Eichenbaum, and Rebelo (2011), _When Is the Government Spending Multiplier Large?_** *(New Keynesian fiscal theory / ZLB)* \n", + " Landmark theoretical result that multipliers can be substantially larger near the zero lower bound, central to post-crisis fiscal-policy modeling.\n", + "\n", + "3. **Nakamura and Steinsson (Fiscal Stimulus in a Monetary Union, NBER/AER line of work)** *(Regional empirical identification)* \n", + " Pioneering use of cross-region variation in a monetary union to identify local spending multipliers; a core template for ARRA-based empirical designs.\n", + "\n", + "4. **Kaplan, Moll, and Violante (2018), _Monetary Policy According to HANK_** *(HANK transmission and redistribution channels)* \n", + " High-impact HANK framework showing that heterogeneity, liquidity, and general-equilibrium income effects dominate representative-agent transmission logic.\n", + "\n", + "5. **Parker, Souleles, Johnson, and McClelland (2013), _Consumer Spending and the Economic Stimulus Payments of 2008_** *(Household spending evidence / MPCs)* \n", + " Influential micro evidence of sizable spending responses to transfers, validating high-MPC mechanisms that heterogeneous-agent fiscal models rely on.\n", + "\n", + "Together, these five papers span the key pillars Dupor et al. (2023) builds on: identification of local fiscal effects, heterogeneous-agent theory, and micro evidence on consumption responses." + ], + "id": "c52e9d42" + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} \ No newline at end of file diff --git a/models/We-Would-Like-In-Econ-ARK/Dupor2023-bn/Dupor2023-bn_subsequent-literature.ipynb b/models/We-Would-Like-In-Econ-ARK/Dupor2023-bn/Dupor2023-bn_subsequent-literature.ipynb new file mode 100644 index 00000000..66456d13 --- /dev/null +++ b/models/We-Would-Like-In-Econ-ARK/Dupor2023-bn/Dupor2023-bn_subsequent-literature.ipynb @@ -0,0 +1,57 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Subsequent literature (2019+)\n", + "\n", + "Since 2019, the literature most related to {cite:t}`Dupor2023-bn` has moved from asking whether fiscal multipliers are positive to asking which multiplier we mean, in which environment, and through which distributional channels it operates. A first direction is sharper theory of heterogeneous-agent transmission under realistic policy regimes. {cite:t}`fiscal_hagedorn_2019` formalizes a HANK environment with incomplete markets, nominal rigidities, and endogenous labor-market responses, showing that financing and monetary accommodation are first-order determinants of multiplier size. This work helped normalize the idea that a single \"fiscal multiplier\" is not a structural constant: it varies with deficits versus contemporaneous taxation, the policy rule followed by the central bank, and the distribution of marginal propensities to consume across households. That line is extended and systematized by {cite:t}`fiscal_auclert_2024`, which provides a unified modern framework for fiscal and monetary interactions in heterogeneous-agent models. The cutting-edge shift here is methodological as much as substantive: policy analysis is increasingly done in models disciplined by distributional moments and realistic household balance sheets rather than representative-agent shortcuts.\n", + "\n", + "A second direction is stronger emphasis on state dependence and nonlinearities. While post-crisis work had already suggested larger multipliers near the effective lower bound, newer papers investigate richer nonlinear mechanisms and sign asymmetries. {cite:t}`nonlinear_brinca_2019` and {cite:t}`understanding_barnichon_2021` push this agenda by showing that the effects of fiscal expansions and contractions need not be symmetric and may depend on labor-market slack, financing conditions, and the composition of shocks. In parallel, {cite:t}`heterogeneous_bernardini_2020` documents substantial variation in multiplier estimates around the Great Recession period, reinforcing the view that \"average\" multipliers can hide large cyclical and cross-country heterogeneity. Together, these papers moved the field away from point estimates toward conditional policy rules: when policymakers ask for a multiplier, the modern answer is \"conditional on regime, sign, and composition.\"\n", + "\n", + "A third direction, very close to the Dupor et al. research design, is local-to-aggregate mapping in spatial economies. Earlier regional IV designs established credible local treatment effects; the frontier is now to recover general-equilibrium propagation through production and trade linkages. {cite:t}`spatial_casas_2025` illustrates this trajectory with a spatial general-equilibrium treatment of local spending multipliers in EU regions, where cross-region demand and supply linkages are central rather than residual. This is conceptually aligned with the multi-region structure in {cite:t}`Dupor2023-bn`: local spending shocks generate spillovers that can make aggregate effects exceed local direct effects. The practical implication is that new empirical work increasingly combines regional quasi-experiments with explicit network or spatial structure, instead of treating spillovers as a nuisance. In the same spirit, {cite:t}`fiscal_sheremirov_2022` broadens external validity by comparing advanced and developing economies using military-spending variation, highlighting that institutions and macro regimes materially alter transmission.\n", + "\n", + "Related but distinct, another emerging branch studies household balance-sheet channels beyond standard transfer episodes. {cite:t}`macroeconomic_auclert_2019` (debt relief and bankruptcy protections) and {cite:t}`stock_chodorowreich_2021` (stock-market wealth and local labor markets) reinforce a broader post-2019 conclusion: fiscal and quasi-fiscal policies work through heterogeneous exposures to income, debt, and asset-price changes. This complements the consumption-MPC logic behind Dupor et al. and points to a richer notion of stimulus design where targeting depends not only on current income but also on liquidity, leverage, and wealth composition.\n", + "\n", + "Putting these strands together, the main research directions that emerged after 2019 are: (i) integrating fiscal and monetary policy in tractable HANK frameworks suitable for quantitative policy experiments; (ii) estimating regime-dependent, nonlinear multipliers rather than unconditional averages; (iii) connecting local causal estimates to national outcomes through explicit spatial and network propagation; and (iv) embedding household balance-sheet heterogeneity directly into fiscal design questions. The cutting edge now is not a single new estimate, but a synthesis: micro-founded heterogeneity plus credible quasi-experimental variation plus explicit aggregation structure. Under this view, the core contribution of {cite:t}`Dupor2023-bn` looks increasingly prescient, because it anticipated exactly this workflow by combining regional consumption evidence with a multi-region heterogeneous-agent model.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Most important papers for where the field is heading (3-5)\n", + "\n", + "1. **Auclert, Rognlie, and Straub (2024), _Fiscal and Monetary Policy with Heterogeneous Agents_** ({cite:t}`fiscal_auclert_2024`) \n", + " Most important unifying framework for joint fiscal-monetary analysis in HANK settings; likely to be the benchmark platform for policy counterfactuals.\n", + "\n", + "2. **Hagedorn, Manovskii, and Mitman (2019), _The Fiscal Multiplier_** ({cite:t}`fiscal_hagedorn_2019`) \n", + " Foundational quantitative result showing how incomplete markets and policy financing/monetary rules jointly determine multiplier magnitudes.\n", + "\n", + "3. **Barnichon, Debortoli, and Matthes (2021), _Understanding the Size of the Government Spending Multiplier: It's in the Sign_** ({cite:t}`understanding_barnichon_2021`) \n", + " Influential for the nonlinear and asymmetry agenda; moves the literature toward sign- and regime-contingent fiscal effects.\n", + "\n", + "4. **Bernardini, De Schryder, and Peersman (2020), _Heterogeneous Government Spending Multipliers in the Era Surrounding the Great Recession_** ({cite:t}`heterogeneous_bernardini_2020`) \n", + " Key empirical evidence that multiplier heterogeneity across states and periods is substantial, sharpening the case against one-size-fits-all estimates.\n", + "\n", + "5. **Casas et al. (2025), _A Spatial General Equilibrium Analysis of Local Public Spending Multipliers in the European Union Regions_** ({cite:t}`spatial_casas_2025`) \n", + " Represents the frontier local-to-aggregate spatial GE approach, where spillovers and interregional linkages are modeled explicitly.\n", + "\n", + "If you want a \"top 3 only\" version, the strongest core set is: {cite:t}`fiscal_auclert_2024`, {cite:t}`fiscal_hagedorn_2019`, and {cite:t}`understanding_barnichon_2021`.\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/models/We-Would-Like-In-Econ-ARK/Dupor2023-bn/Dupor2023-bn_summary.ipynb b/models/We-Would-Like-In-Econ-ARK/Dupor2023-bn/Dupor2023-bn_summary.ipynb new file mode 100644 index 00000000..4b8e3c6d --- /dev/null +++ b/models/We-Would-Like-In-Econ-ARK/Dupor2023-bn/Dupor2023-bn_summary.ipynb @@ -0,0 +1,167 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Paper Summary" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Overview\n", + "\n", + "* Research Question: What is the effect of county level government spending on consumer spending?\n", + "* Part I: Empirics - The American Recovery and Reinvestment Act\n", + " * Calculate local fiscal multipliers using county level variation\n", + " * A $1 increase in county-level government spending increases local non-durable consumer\n", + "spending by $0.29 and local auto spending by $0.09\n", + "* Part II: Multi-region new Keynesian Model\n", + " * Heterogeneous households (idiosyncratic productivity shocks and discount factors)\n", + " * Incomplete markets\n", + " * Trade linkages" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Prior Literature Summary\n", + "\n", + "The paper builds on three complementary strands. First, ARRA-based regional studies established credible local fiscal identification using formula-driven variation and instrumental-variables designs, showing that federal spending affected local employment, wages, and activity. A key takeaway from this line is that local estimates are informative but must be interpreted with care when drawing aggregate policy conclusions because spillovers and aggregation can materially change national effects.\n", + "\n", + "Second, modern heterogeneous-agent macroeconomics provided the mechanism linking micro behavior to aggregate multipliers. Incomplete-markets and HANK models emphasize liquidity constraints, unequal marginal propensities to consume, and redistribution channels, all of which can make fiscal policy more powerful than in representative-agent models, especially near the zero lower bound. Third, household-level evidence from tax rebates and wealth shocks documented sizable and heterogeneous spending responses, giving empirical discipline to these mechanisms.\n", + "\n", + "*For a more detailed discussion of the prior literature, see [Prior Literature](Dupor2023-bn_prior-literature.ipynb).*" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Empirics\n", + "\n", + "TABLE 4\n", + "Local retail spending multipliers\n", + "| Spending category | Retail consumer spending (Nielsen, Retail Scanner) | | | |\n", + "| :--- | :--- | :--- | :--- | :--- |\n", + "| | OLS | IV | OLS | IV |\n", + "| Government spending | 0.20*** (0.06) | 0.26*** (0.07) | 0.11*** (0.04) | 0.11** (0.05) |\n", + "| Partial $F$ stat. | - | 137.1 | - | 112.0 |\n", + "| County controls/State F.E. | No | No | Yes | Yes |\n", + "| \\# of counties | 367 | 367 | 367 | 367 |\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Household's maximization problem\n", + "\n", + "\\begin{align*}\n", + "V_{t}\\left(x_{t}, a_{t}, \\beta ; \\phi_{i, t}\\right)= & \\max _{c_{t}, a_{t+1}, h_{t}}\\left\\{\\log \\left(c_{t}\\right)+\\psi \\frac{\\left(1-h_{t}\\right)^{1-\\theta}}{1-\\theta}\\right. \\\\\n", + "& \\left.+\\beta \\sum_{x_{t+1}} \\Gamma_{x_{t}, x_{t+1}} V_{t+1}\\left(x_{t+1}, a_{t+1}, \\beta ; \\phi_{i, t+1}\\right)\\right\\} \\tag{4.3}\\\\\n", + "\\text { s.t. } \\quad & c_{t}+a_{t+1}=w_{i, t} x_{t} h_{t}-\\mathcal{T}(.)+\\left(1+r_{i, t}\\right) a_{t}+(1-\\omega) \\delta\\left(x_{t}\\right) D_{i, t}, \\tag{4.4}\\\\\n", + "& a_{t+1} \\geq 0 . \\tag{4.5}\n", + "\\end{align*}\n", + "\n", + "where $c$ denotes consumption, $h$ denotes work, $\\psi$ is a parameter governing utility of leisure, $\\theta$ is the Frisch elasticity of labour supply, $\\beta$ is the idiosyncratic discount factor, $\\Gamma$ is a transition matrix approximating the productivity shock process $x$, $a$ denotes assets saved in a regional mutual fund, $w$ denotes wages, $\\mathcal{T}$ is the tax schedule, and $\\delta\\left(x\\right) D$ is the share of dividends received by households." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Regional Mutual Fund\n", + "\n", + "There is a mutual fund in each region. The fund collects savings from local households, $A_{i, t+1}= \\int_{\\phi_{i, t}} a_{i, t+1}$. The fund next purchases government bonds, $B_{i, t+1}^{m}$, and shares, $s_{i, t+1}$, that represent claims on the profits of intermediate firms in region $i$. The price of each share (relative to the price of the final good) is $q_{i, t}$. The mutual fund chooses $B_{i, t+1}^{m}$ and $s_{i, t+1}$ to maximize its real long-run profits:\n", + "\n", + "\n", + "\\begin{align*}\n", + "V_{i, t}^{m}= & \\left(1+R_{t-1}\\right) B_{i, t}^{m}+\\left(q_{i, t}+\\left(1-\\tau_{d}\\right) \\omega D_{i, t}\\right) s_{i, t}-\\left(1+\\pi_{i, t+1}\\right) B_{i, t+1}^{m}-q_{i, t} s_{i, t+1} \\\\\n", + "& +\\frac{1}{1+r_{i, t+1}} V_{i, t+1}^{m} . \\tag{4.6}\n", + "\\end{align*}\n", + "\n", + "where $R$ is the global nominal interest rate, \\pi_{i} is the regional inflation rate, and $1+r_{i} = \\frac{1+R}{1+\\pi_{i}}$ is the regional real interest rate.\n", + "\n", + "Then the optimal amount of total savings in region $i$ is given by\n", + "\n", + "\\begin{equation*}\n", + "A_{i, t+1}=\\left(1+\\pi_{i, t+1}\\right) B_{i, t+1}^{m}+q_{i, t} s_{i, t+1} \\tag{4.10}\n", + "\\end{equation*}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Closing the model\n", + "\n", + "The model also includes intermediate goods firms, final goods firms, a monetary authority, and fiscal authority. All of these are standard to the multi-region NK model. " + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Results\n", + "\n", + "![Impulse responses](figures/irfs.jpg)\n", + "Impulse responses to a government spending shock\n", + "\n", + "Notes: Impulse response functions for a temporary government spending shock. All units are in per-capita terms and are expressed as percentage deviations from their steady state. For the inflation rate, we report the deviation from the steady state in levels.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Subsequent Literature and Research Directions\n", + "\n", + "Recent work (2019 and later) shifts the field from asking for a single average multiplier to asking how fiscal effects depend on policy regime, macro state, and household heterogeneity. One major direction is integrated fiscal-monetary analysis in heterogeneous-agent frameworks: newer HANK-based models show that financing choices (deficit versus tax financing), monetary accommodation, and the distribution of liquidity across households are first-order determinants of multiplier size.\n", + "\n", + "A second direction emphasizes nonlinear and state-dependent effects. Evidence and theory now highlight that multipliers can vary across expansions and downturns, and can be asymmetric for spending increases versus consolidations. A third direction extends regional designs into spatial general-equilibrium settings that explicitly model trade and production linkages across regions, improving the mapping from local causal effects to aggregate outcomes.\n", + "\n", + "The cutting edge is the synthesis of these strands: credible quasi-experimental local evidence, rich heterogeneous-agent macro structure, and explicit aggregation/spillover mechanisms. For this paper's agenda, the most important frontier implication is that local consumption responses are increasingly viewed as key identified moments that must be interpreted through multi-region general-equilibrium models rather than in isolation.\n", + "\n", + "*For a more detailed discussion of the subsequent literature, see [Subsequent Literature](Dupor2023-bn_subsequent-literature.ipynb).*" + ] + } + ], + "metadata": { + "celltoolbar": "Slideshow", + "kernelspec": { + "display_name": ".venv-linux-x86_64", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.3" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/models/We-Would-Like-In-Econ-ARK/Dupor2023-bn/figures/irfs.jpg 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zwcdt9$Pm7Kh$@L`}|@u*A#?q&L;=e6%vu2!7hKXhMNnm5l2Q8G~C{nU1W*B4xq zL%Hm8VL;0in(a870o?|FyTnVKHiIp)V{OAAm?o7cpYb$Z8VMslgjJM<1qATCt*wO> zrMT^i5DEsmNzvlD{LO06zfw8+SKdobq1URotIL!U_r|l}0d8!kInuS|J&Y2`lhq2VP-pZlWoM51J7HqCar*yFqBjlP_6N+d~b}X?Eu8jsw4QD%!4wvX@4h!(>j3;4fBTQ-& za>%oTc>4(j{wY=W*ZVG%{5ebzd=eA@Wov1bIfy@l2bIfAD6mE867m z%iNLwB1?6s7;>3W>SQ-PTId3lV`ZnibXr{kevINz#9cr+7~%z4=_e+6uEcqc{CZp8 z6|Ycbe&rX?eTVD5t`g>enn4;)*owt*Dee=FwTU&j9rF6G?0 literal 0 HcmV?d00001 diff --git a/models/We-Would-Like-In-Econ-ARK/Dupor2023-bn/index.md b/models/We-Would-Like-In-Econ-ARK/Dupor2023-bn/index.md new file mode 100644 index 00000000..5855f7e7 --- /dev/null +++ b/models/We-Would-Like-In-Econ-ARK/Dupor2023-bn/index.md @@ -0,0 +1,15 @@ +--- +title: "Regional Consumption Responses and the Aggregate Fiscal Multiplier -- Ballpark Entry" +--- + +```{include} Dupor2023-bn_intro.ipynb +``` + +```{include} Dupor2023-bn_summary.ipynb +``` + +```{include} Dupor2023-bn_prior-literature.md +``` + +```{include} Dupor2023-bn_subsequent-literature.md +``` \ No newline at end of file diff --git a/models/We-Would-Like-In-Econ-ARK/Dupor2023-bn/myst.yml b/models/We-Would-Like-In-Econ-ARK/Dupor2023-bn/myst.yml new file mode 100644 index 00000000..e543d341 --- /dev/null +++ b/models/We-Would-Like-In-Econ-ARK/Dupor2023-bn/myst.yml @@ -0,0 +1,14 @@ +version: 1 +project: + title: "Regional Consumption Responses and the Aggregate Fiscal Multiplier — Ballpark Entry" + bibliography: + - self.bib + - references.bib + - subsequent-literature.bib + toc: + - file: Dupor2023-bn_intro.ipynb + - file: Dupor2023-bn_prior-literature.ipynb + - file: Dupor2023-bn_summary.ipynb + - file: Dupor2023-bn_subsequent-literature.ipynb +site: + title: "Regional Consumption Responses and the Aggregate Fiscal Multiplier — Ballpark Entry" \ No newline at end of file diff --git a/models/We-Would-Like-In-Econ-ARK/Dupor2023-bn/references.bib b/models/We-Would-Like-In-Econ-ARK/Dupor2023-bn/references.bib new file mode 100644 index 00000000..aa0e6341 --- /dev/null +++ b/models/We-Would-Like-In-Econ-ARK/Dupor2023-bn/references.bib @@ -0,0 +1,1363 @@ +@ARTICLE{Floden1998-cz, + title = "Idiosyncratic risk in the {U}.s. and Sweden: Is there a role for + government insurance?", + author = "Flodén, Martin and Lindé, J", + month = sep, + year = 1998 +} + +@ARTICLE{Eggertsson2009-yu, + title = "Federal Reserve Bank of New York Staff Reports What Fiscal Policy Is + Effective at Zero Interest Rates ?", + author = "Eggertsson, Gauti B", + year = 2009 +} + +@ARTICLE{HagedornUnknown-qq, + title = "Federal reserve bank of New York staff reports the role of macro + effects unemployment benefits and unemployment in the great + recession: The role of macro effects", + author = "Hagedorn, Marcus and Karahan, Fatih and Manovskii, I and Mitman, K" +} + +@ARTICLE{Sahm2011-ta, + title = "Check in the mail or more in the paycheck: Does the effectiveness + of fiscal stimulus depend on how it is delivered?", + author = "Sahm, Claudia and Shapiro, Matthew D and Slemrod, Joel B", + journal = "SSRN Electron. J.", + publisher = "Elsevier BV", + year = 2011, + language = "en" +} + +@ARTICLE{Drautzburg2015-ie, + title = "Fiscal stimulus and distortionary taxation", + author = "Drautzburg, Thorsten and Uhlig, Harald", + journal = "Rev. Econ. Dyn.", + publisher = "Elsevier BV", + volume = 18, + number = 4, + pages = "894--920", + abstract = "We quantify the fiscal multipliers in response to the American + Recovery and Reinvestment Act (ARRA) of 2009. We extend the + benchmark medium-scale New Keynesian model, allowing for + credit-constrained households, the zero lower bound, government + capital, and distortionary taxation. The posterior yields + modestly positive short-run multipliers around 0.53 and modestly + negative long-run multipliers around −0.36. We compare and relate + recent literature multiplier calculations to ours. We explain the + central empirical findings with the help of a simple three + equation New Keynesian model with sticky wages and + credit-constrained households.", + month = oct, + year = 2015, + language = "en" +} + +@ARTICLE{Wilson2012-bc, + title = "Fiscal spending jobs multipliers: Evidence from the 2009 American + Recovery and Reinvestment Act", + author = "Wilson, Daniel J", + journal = "Am. Econ. J. Econ. Policy", + publisher = "American Economic Association", + volume = 4, + number = 3, + pages = "251--282", + abstract = "This paper estimates the “jobs multiplier” of fiscal stimulus + spending using the state-level allocations of federal stimulus + funds from the American Recovery and Reinvestment Act (ARRA) of + 2009. Because the level and timing of stimulus funds that a state + receives was potentially endogenous, I exploit the fact that most + of these funds were allocated according to exogenous formulary + allocation factors such as the number of federal highway miles in + a state or its youth share of population. Cross-state IV results + indicate that ARRA spending in its first year yielded about eight + jobs per million dollars spent, or \$125,000 per job. (JEL E24, + E62, H72, H75, R23)", + month = aug, + year = 2012, + language = "en" +} + +@ARTICLE{Baxter1990-mo, + title = "Fiscal policy in general equilibrium", + author = "Baxter, Marianne and King, R", + journal = "The American Economic Review", + volume = 83, + pages = "315--334", + year = 1990 +} + +@ARTICLE{Chodorow-Reich2012-bo, + title = "Does state fiscal relief during recessions increase employment? + Evidence from the American Recovery and Reinvestment Act", + author = "Chodorow-Reich, Gabriel and Feiveson, Laura and Liscow, Zachary + and Woolston, William Gui", + journal = "Am. Econ. J. Econ. Policy", + publisher = "American Economic Association", + volume = 4, + number = 3, + pages = "118--145", + abstract = "The American Recovery and Reinvestment Act (ARRA) of 2009 + included $88 billion of aid to state governments administered + through the Medicaid reimbursement process. We examine the effect + of these transfers on states' employment. Because state fiscal + relief outlays are endogenous to a state's economic environment, + OLS results are biased downward. We address this problem by using + a state's pre-recession Medicaid spending level to instrument for + ARRA state fiscal relief. In our preferred specification, a + state's receipt of a marginal $100,000 in Medicaid outlays + results in an additional 3.8 job-years, 3.2 of which are outside + the government, health, and education sectors. (JEL H75, I18, + I38, R23)", + month = aug, + year = 2012, + language = "en" +} + +@ARTICLE{McKay2016-pm, + title = "The role of automatic stabilizers in the {U}.{S}. business cycle", + author = "McKay, Alisdair and Reis, Ricardo", + journal = "Econometrica", + abstract = "Most countries have automatic rules in their tax-and-transfer + systems that are partly intended to stabilize economic + fluctuations. This paper measures how effective they are. We put + forward a model that merges the standard incomplete-markets model + of consumption and inequality with the new Keynesian model of + nominal rigidities and business cycles, and that includes most of + the main potential stabilizers in the U.S. data, as well as the + theoretical channels by which they may work. We find that the + conventional argument that stabilizing disposable income will + stabilize aggregate demand plays a negligible role on the + effectiveness of the stabilizers, whereas tax-and-transfer + programs that affect inequality and social insurance can have a + large effect on aggregate volatility. However, as currently + designed, the set of stabilizers in place in the United States has + barely had any effect on volatility. According to our model, + expanding safety-net programs, like food stamps, has the largest + potential to enhance the effectiveness of the stabilizers.", + year = 2016 +} + +@ARTICLE{Ferriere2018-aj, + title = "The heterogeneous effects of government spending: It’s all about + taxes", + author = "Ferriere, Axelle and Navarro, Gaston", + journal = "Int. Fin. Discuss. Pap.", + publisher = "Board of Governors of the Federal Reserve System", + volume = "2018.0", + number = 1237, + abstract = "This paper investigates how government spending multipliers + depend on the distribution of taxes across households. We exploit + historical variations in the financing of spending in the U.S. + since 1913 to show that multipliers are positive only when + financed with more progressive taxes, and zero otherwise. We + rationalize this finding within a heterogeneous-household model + with indivisible labor supply. The model results in a lower labor + responsiveness to tax changes for higher-income earners. In turn, + spending financed with more progressive taxes induces a smaller + crowding-out, and thus larger multipliers. Finally, we provide + evidence in support of the model’s cross-sectional implications.", + month = aug, + year = 2018 +} + +@ARTICLE{Conley2013-ca, + title = "The American Recovery and Reinvestment Act: Solely a government + jobs program?", + author = "Conley, Timothy G and Dupor, Bill", + journal = "J. Monet. Econ.", + publisher = "Elsevier BV", + volume = 60, + number = 5, + pages = "535--549", + abstract = "This paper estimates the private and government sector employment + effects of American Recovery and Reinvestment Act (ARRA) spending + via an instrumental variables strategy. We argue that this aid + was effectively fungible and states used it to offset declines in + revenue. This enables us to use exogenous variation in states’ + budget positions to identify the Act's employment effects. We + also exploit exogenous variation across states in ARRA highway + funding. According to our benchmark estimates, average state and + local government employment, during the 24 months following the + program's inception, was between 156,000 and 563,000 persons + greater as a result of ARRA spending (90\% confidence interval). + The corresponding estimate for the private sector ranges from a + loss of 182,000 to a gain of 1.1 million jobs. Our point estimate + for the implied cost of creating a job lasting one year is + \$202,000, which is substantially larger than the corresponding + estimate from the President's Council of Economic Advisors.", + month = jul, + year = 2013, + language = "en" +} + +@ARTICLE{Perotti2004-fu, + title = "Estimating the effects of fiscal policy in {OECD} countries", + author = "Perotti, Roberto", + journal = "SSRN Electron. J.", + publisher = "Elsevier BV", + abstract = "This paper studies the effects of fiscal policy on GDP, inflation + and interest rates in 5 OECD countries, using a structural Vector + Autoregression approach. Its main results can be summarized as + follows: 1) The effects of fiscal policy on GDP tend to be small: + government spending multipliers larger than 1 can be estimated + only in the US in the pre-1980 period. 2) There is no evidence + that tax cuts work faster or more effectively than spending + increases. 3) The effects of government spending shocks and tax + cuts on GDP and its components have become substantially weaker + over time; in the post-1980 period these effects are mostly + negative, particularly on private investment. 4) Only in the + post-1980 period is there evidence of positive effects of + government spending on long interest rates. In fact, when the + real interest rate is held constant in the impulse responses, + much of the decline in the response of GDP in the post-1980 + period in the US and UK disappears. 5) Under plausible values of + its price elasticity, government spending typically has small + effects on inflation. 6) Both the decline in the variance of the + fiscal shocks and the change in their transmission mechanism + contribute to the decline in the variance of GDP after 1980.", + year = 2004, + language = "en" +} + +@ARTICLE{Leduc2017-yn, + title = "Are state governments roadblocks to federal stimulus? Evidence on + the flypaper effect of highway grants in the 2009 recovery act", + author = "Leduc, Sylvain and Wilson, Daniel", + journal = "Am. Econ. J. Econ. Policy", + publisher = "American Economic Association", + volume = 9, + number = 2, + pages = "253--292", + abstract = "This paper examines how state governments adjusted spending in + response to the large temporary increase in federal highway + grants under the 2009 American Recovery and Reinvestment Act + (ARRA). The mechanism used to apportion ARRA highway grants to + states allows one to isolate exogenous changes in these grants. + The results indicate that states increased highway spending over + 2009 to 2011 more than dollar-for-dollar with the ARRA grants + they received. Rent-seeking efforts are shown to help explain + this result: states with more political contributions from the + public works sector to the governor and state legislators tended + to spend more out of their ARRA highway funds than other states. + (JEL H54, H76, R42, R53)", + month = may, + year = 2017, + language = "en" +} + +@ARTICLE{Dupor2015-nl, + title = "Schools and Stimulus", + author = "Dupor, William and Mehkari, M Saif", + journal = "wp", + publisher = "Federal Reserve Bank of St. Louis", + volume = 2015, + number = 004, + year = 2015 +} + +@ARTICLE{Sahm2010-sz, + title = "Household response to the 2008 tax rebate: Survey evidence and + aggregate implications", + author = "Sahm, Claudia R and Shapiro, Matthew D and Slemrod, Joel", + journal = "Tax Policy Econ.", + publisher = "University of Chicago Press", + volume = 24, + number = 1, + pages = "69--110", + month = jan, + year = 2010 +} + +@TECHREPORT{Hall2009-mz, + title = "By how much does {GDP} rise if the government buys more output?", + author = "Hall, Robert", + publisher = "National Bureau of Economic Research", + institution = "National Bureau of Economic Research", + address = "Cambridge, MA", + month = nov, + year = 2009 +} + +@TECHREPORT{Auerbach2019-pi, + title = "Local fiscal multipliers and fiscal spillovers in the United + States", + author = "Auerbach, Alan and Gorodnichenko, Yuriy and Murphy, Daniel", + publisher = "National Bureau of Economic Research", + institution = "National Bureau of Economic Research", + address = "Cambridge, MA", + abstract = "We estimate local fiscal multipliers and spillovers for the + United States using a rich dataset based on U.S. Department of + Defense contracts and a variety of outcome variables relating + to income and employment. We find strong positive spillovers + across locations and industries. Both backward linkages and + general equilibrium effects (e.g., income multipliers) + contribute to the positive spillovers. Geographical spillovers + appear to dissipate fairly quickly with distance. Our evidence + points to the relevance of Keynesian-type models that feature + excess capacity.", + month = jan, + year = 2019 +} + +@TECHREPORT{Ramey2009-jx, + title = "Identifying government spending shocks: It's all in the timing", + author = "Ramey, Valerie", + publisher = "National Bureau of Economic Research", + institution = "National Bureau of Economic Research", + address = "Cambridge, MA", + month = oct, + year = 2009 +} + +@ARTICLE{Carroll2017-cp, + title = "The distribution of wealth and the marginal propensity to + consume: The distribution of wealth", + author = "Carroll, Christopher and Slacalek, Jiri and Tokuoka, Kiichi and + White, Matthew N", + journal = "Quant. Econom.", + publisher = "The Econometric Society", + volume = 8, + number = 3, + pages = "977--1020", + month = nov, + year = 2017, + language = "en" +} + +@ARTICLE{Guner2014-xr, + title = "Income taxation of {U}.{S}. households: Facts and parametric + estimates", + author = "Guner, Nezih and Kaygusuz, Remzi and Ventura, Gustavo", + journal = "Rev. Econ. Dyn.", + publisher = "Elsevier BV", + volume = 17, + number = 4, + pages = "559--581", + abstract = "We use micro data from the U.S. Internal Revenue Service to + document how Federal Income tax liabilities vary with income, + marital status and the number of dependents. We report facts on + the distributions of average taxes, properties of the joint + distributions of taxes paid and income, and discuss how taxes are + affected by marital status and the number of children. We also + provide multiple parametric estimates of tax functions for use in + applied work in macroeconomics and public finance.", + month = oct, + year = 2014, + language = "en" +} + +@ARTICLE{Christiano2011-ro, + title = "When is the government spending multiplier large?", + author = "Christiano, Lawrence and Eichenbaum, Martin and Rebelo, Sergio", + journal = "J. Polit. Econ.", + publisher = "University of Chicago Press", + volume = 119, + number = 1, + pages = "78--121", + month = feb, + year = 2011 +} + +@ARTICLE{Dupor2018-zh, + title = "A cup runneth over: Fiscal policy spillovers from the 2009 + recovery act", + author = "Dupor, Bill and McCrory, Peter B", + journal = "Econ. J. (London)", + publisher = "Oxford University Press (OUP)", + volume = 128, + number = 611, + pages = "1476--1508", + abstract = "This paper studies the effects of interregional spillovers from + the government spending component of the American Recovery and + Reinvestment Act of 2009 (the Recovery Act). Using cross-county + Census Journey to Work commuting data, we cluster U.S. counties + into local labor markets, each of which we further partition into + two subregions. We then compare differential labor market + outcomes and Recovery Act spending at the regional and + subregional levels using instrumental variables. Our instrument + is the sum of spending by federal agencies not instructed to + allocate Recovery Act funds according to the severity of local + downturns. Among pairs of subregions, we find evidence of fiscal + policy spillovers. According to our benchmark specification, $1 + of Recovery Act spending in a subregion increases its own wage + bill by $0.64 and increases the wage bill in its neighboring + subregion by \$0.50 during the rst two years following the act's + passage. We find similar spillover effects when we replace the + wage bill with employment as our measure of economic activity. + The spillover effect occurs in the service sector, whereas the + direct effect occurs in both the services and goods producing + sector. Also, we estimate cross-sectional regressions at various + levels of aggregation. The estimated effect of stimulus spending + increases with the level of aggregation, as greater aggregation + subsumes geographic spillovers into the own-region effect of + spending.", + month = jun, + year = 2018, + language = "en" +} + +@ARTICLE{Backus1993-vy, + title = "Consumption and real exchange rates in dynamic economies with + non-traded goods", + author = "Backus, David K and Smith, Gregor W", + journal = "J. Int. Econ.", + publisher = "Elsevier BV", + volume = 35, + number = "3-4", + pages = "297--316", + abstract = "We examine the possibility that non-traded goods may account for + several striking features of international macroeconomic data: + large, persistent deviations from purchasing power parity, small + correlations of aggregate consumption fluctuations across + countries, and substantial international real interest rate + differentials. A dynamic, exchange economy is used to show that + non-traded goods in principle can account for each of these + phenomena. In the theory there is a close relation between + fluctuations in consumption ratios and those in bilateral real + exchange rates, but we find little evidence for this relation in + time-series data for eight OECD countries.", + month = nov, + year = 1993, + language = "en" +} + +@BOOK{Tanner2003-bp, + title = "Unemployment Benefits", + author = "Tanner, Jane", + publisher = "CQ Press", + address = "2455 Teller Road, Thousand Oaks California 91320 United States", + year = 2003 +} + +@TECHREPORT{Serrato2016-wo, + title = "Estimating Local Fiscal Multipliers", + author = "Serrato, Juan Carlos Suárez and Wingender, Philippe", + publisher = "National Bureau of Economic Research", + address = "Cambridge, MA", + abstract = "We propose a new source of cross-sectional variation that may + identify causal impacts of government spending on the economy. We + use the fact that a large number of federal spending programs + depend on local population levels. Every ten years, the Census + provides a count of local populations. Since a different method + is used to estimate non-Census year populations, this change in + methodology leads to variation in the allocation of billions of + dollars in federal spending. Our baseline results follow a + treatment-effects framework where we estimate the effect of a + Census Shock on federal spending, income, and employment growth + by re-weighting the data based on an estimated propensity score + that depends on lagged economic outcomes and observed economic + shocks. Our estimates imply a local income multiplier of + government spending between 1.7 and 2, and a cost per job of + \$30,000 per year. A complementary IV estimation strategy yields + similar estimates. We also explore the potential for spillover + effects across neighboring counties but we do not find evidence + of sizable spillovers. Finally, we test for heterogeneous effects + of government spending and find that federal spending has larger + impacts in low-growth areas.", + month = jul, + year = 2016 +} + +@ARTICLE{Aiyagari1994-qp, + title = "Uninsured idiosyncratic risk and aggregate saving", + author = "Aiyagari, S R", + journal = "Q. J. Econ.", + publisher = "Oxford University Press (OUP)", + volume = 109, + number = 3, + pages = "659--684", + abstract = "We present a qualitative and quantitative analysis of the + standard growth model modified to include precautionary saving + motives and liquidity constraints. We address the impact on the + aggregate saving rate, the importance of asset trading to + individuals, and the relative inequality of wealth and income + distributions.", + month = aug, + year = 1994, + language = "en" +} + +@ARTICLE{Parker2013-py, + title = "Consumer spending and the economic stimulus payments of 2008", + author = "Parker, Jonathan A and Souleles, Nicholas S and Johnson, David S + and McClelland, Robert", + journal = "Am. Econ. Rev.", + publisher = "American Economic Association", + volume = 103, + number = 6, + pages = "2530--2553", + abstract = "We measure the change in household spending caused by receipt of + the economic stimulus payments of 2008, using questions added to + the Consumer Expenditure Survey and variation from the randomized + timing of disbursement. Households spent 12–30 percent (depending + on specification) of their payments on nondurable goods during + the three-month period of payment receipt, and a significant + amount more on durable goods, primarily vehicles, bringing the + total response to 50–90 percent of the payments. The responses + are substantial and significant for older, lower-income, and + home-owning households. Spending does not vary significantly with + the method of disbursement (check versus electronic transfer). + (JEL D12, D14, E21, E62)", + month = oct, + year = 2013, + language = "en" +} + +@ARTICLE{Ramey2018-rc, + title = "Government spending multipliers in good times and in bad: + Evidence from {US} historical data", + author = "Ramey, Valerie A and Zubairy, Sarah", + journal = "J. Polit. Econ.", + publisher = "University of Chicago Press", + volume = 126, + number = 2, + pages = "850--901", + month = apr, + year = 2018, + language = "en" +} + +@INCOLLECTION{Krueger2016-kh, + title = "Macroeconomics and household heterogeneity", + author = "Krueger, D and Mitman, K and Perri, F", + booktitle = "Handbook of Macroeconomics", + publisher = "Elsevier", + pages = "843--921", + series = "Handbook of Macroeconomics", + year = 2016, + language = "en" +} + +@ARTICLE{Chetty2009-am, + title = "Bounds on Elasticities with Optimization Frictions: A Synthesis of + Micro and Macro Evidence on Labor Supply", + author = "Chetty, Raj", + abstract = "How can price elasticities be identified when agents face + optimization frictions such as adjustment costs or inattention? I + derive bounds on structural price elasticities that are a function + of the observed effect of a price change on demand, the size of + the price change, and the degree of frictions. The degree of + frictions is measured by the utility losses agents tolerate to + deviate from the frictionless optimum. The bounds imply that + frictions affect intensive margin elasticities much more than + extensive margin elasticities. I apply these bounds to the + literature on labor supply. The utility costs of ignoring the tax + changes used to identify intensive margin labor supply + elasticities are typically less than 1\% of earnings. As a result, + small frictions can explain the differences between micro and + macro elasticities, extensive and intensive margin elasticities, + and other disparate findings. Pooling estimates from existing + studies, I estimate a Hicksian labor supply elasticity of 0.33 on + the intensive margin and 0.25 on the extensive margin after + accounting for frictions.", + year = 2009 +} + +@ARTICLE{Aladangady2017-zu, + title = "The effect of hurricane Matthew on consumer spending", + author = "Aladangady, Aditya and Aron-Dine, Shifrah and Dunn, Wendy E and + Feiveson, Laura and Lengermann, Paul and Sahm, Claudia", + journal = "SSRN Electron. J.", + publisher = "Elsevier BV", + year = 2017, + language = "en" +} + +@ARTICLE{Huggett2009-su, + title = "Federal Reserve Bank of St", + author = "Huggett, M", + year = 2009 +} + +@INCOLLECTION{Ramey2016-tn, + title = "Macroeconomic shocks and their propagation", + author = "Ramey, V A", + booktitle = "Handbook of Macroeconomics", + publisher = "Elsevier", + pages = "71--162", + series = "Handbook of Macroeconomics", + year = 2016, + language = "en" +} + +@TECHREPORT{Auclert2018-ii, + title = "The Intertemporal Keynesian Cross", + author = "Auclert, Adrien and Rognlie, Matthew and Straub, Ludwig", + publisher = "National Bureau of Economic Research", + institution = "National Bureau of Economic Research", + address = "Cambridge, MA", + abstract = "We demonstrate the importance of intertemporal marginal + propensities to consume (iMPCs) in disciplining general + equilibrium models with heterogeneous agents and nominal + rigidities. In a benchmark case, the dynamic response of output + to a change in the path of government spending or taxes is + given by an equation involving iMPCs, which we call the + intertemporal Keynesian cross. Fiscal multipliers depend only + on the interaction between iMPCs and public deficits. We + provide empirical estimates of iMPCs and argue that they are + inconsistent with representative-agent, two-agent and one-asset + heterogeneous-agent models, but can be matched by models with + two assets. Quantitatively, models that match empirical iMPCs + predict deficit-financed fiscal multipliers that are larger + than one, even if monetary policy is active, taxation is + distortionary, and investment is crowded out. These models also + imply larger amplification of shocks that involve private + borrowing, as we illustrate in an application to deleveraging.", + month = sep, + year = 2018 +} + +@ARTICLE{Barro2010-yy, + title = "Macroeconomic effects from government purchases and taxes", + author = "Barro, Robert J and Redlick, Charles", + journal = "SSRN Electron. J.", + publisher = "Elsevier BV", + year = 2010, + language = "en" +} + +@ARTICLE{Imbs2015-pk, + title = "Elasticity optimism", + author = "Imbs, Jean and Mejean, Isabelle", + journal = "Am. Econ. J. Macroecon.", + publisher = "American Economic Association", + volume = 7, + number = 3, + pages = "43--83", + abstract = "On average, estimates of trade elasticities are smaller in + aggregate data than at sector level. This is an artifact of + aggregation. Estimations performed on aggregate data constrain + sector elasticities to homogeneity, which creates a heterogeneity + bias. The paper shows such a bias exists in two prominent + approaches used to estimate elasticities, which has meaningful + consequences for the calibration of the trade elasticity in + one-sector, aggregative models. With elasticities calibrated to + aggregate data, macroeconomic models can have predictions at odds + with the implications of their multi-sector counterparts. They do + not when elasticities are calibrated using a weighted average of + sector elasticities. (JEL C51, F13, F14, F41, O19)", + month = jul, + year = 2015, + language = "en" +} + +@TECHREPORT{Beraja2016-km, + title = "The aggregate implications of regional business cycles", + author = "Beraja, Martin and Hurst, Erik and Ospina, Juan", + publisher = "National Bureau of Economic Research", + institution = "National Bureau of Economic Research", + address = "Cambridge, MA", + month = feb, + year = 2016 +} + +@ARTICLE{Aguiar2015-ij, + title = "Has consumption inequality mirrored income inequality?", + author = "Aguiar, Mark and Bils, Mark", + journal = "Am. Econ. Rev.", + publisher = "American Economic Association", + volume = 105, + number = 9, + pages = "2725--2756", + abstract = "We revisit to what extent the increase in income inequality since + 1980 was mirrored by consumption inequality. We do so by + constructing an alternative measure of consumption expenditure + using a demand system to correct for systematic measurement error + in the Consumer Expenditure Survey. Our estimation exploits the + relative expenditure of high- and low-income households on + luxuries versus necessities. This double differencing corrects + for measurement error that can vary over time by good and income. + We find consumption inequality tracked income inequality much + more closely than estimated by direct responses on expenditures. + (JEL D31, D63, E21)", + month = sep, + year = 2015, + language = "en" +} + +@ARTICLE{Oh2012-ax, + title = "Targeted transfers and the fiscal response to the great recession", + author = "Oh, Hyunseung and Reis, Ricardo", + journal = "J. Monet. Econ.", + publisher = "Elsevier BV", + volume = 59, + pages = "S50--S64", + abstract = "Between 2007 and 2009, government expenditures increased rapidly + across the OECD countries. While economic research on the impact + of government purchases has flourished, in the data, most of the + increase in expenditures was in government transfers. After + documenting this fact, we argue that future research should focus + on the positive impact of transfers. Towards this, we present a + model in which there is no representative agent and Ricardian + equivalence does not hold because of uncertainty, imperfect + credit markets, and nominal rigidities. Targeted lump-sum + transfers are expansionary both because of a neoclassical wealth + effect and because of a Keynesian aggregate demand effect.", + month = dec, + year = 2012, + language = "en" +} + +@TECHREPORT{Auclert2018-bh, + title = "Inequality and aggregate demand", + author = "Auclert, Adrien and Rognlie, Matthew", + publisher = "National Bureau of Economic Research", + address = "Cambridge, MA", + abstract = "We explore the quantitative effects of transitory and persistent + increases in income inequality on equilibrium interest rates and + output. Our starting point is a Bewley-Huggett-Aiyagari model + featuring rich heterogeneity and earnings dynamics as well as + downward nominal wage rigidities. A temporary rise in inequality, + if not accommodated by monetary policy, has an immediate effect + on output that can be quantified using the empirical covariance + between income and marginal propensities to consume. A permanent + rise in inequality can lead to a permanent Keynesian recession, + which is not fully offset by monetary policy due to a lower bound + on interest rates. We show that the magnitude of the real + interest rate fall and the severity of the steady-state slump can + be approximated by simple formulas involving quantifiable + elasticities and shares, together with two parameters that + summarize the effect of idiosyncratic uncertainty and real + interest rates on aggregate savings. For plausible + parametrizations the rise in inequality can push the economy into + a liquidity trap and create a deep recession. Capital investment + and deficit-financed fiscal policy mitigate the fall in real + interest rates and the severity of the slump.", + month = feb, + year = 2018 +} + +@TECHREPORT{Farhi2012-oe, + title = "Fiscal multipliers: Liquidity traps and currency unions", + author = "Farhi, Emmanuel and Werning, Iván", + publisher = "National Bureau of Economic Research", + institution = "National Bureau of Economic Research", + address = "Cambridge, MA", + month = sep, + year = 2012 +} + +@ARTICLE{Jappelli2014-og, + title = "Fiscal Policy and {MPC} Heterogeneity", + author = "Jappelli, Tullio and Pistaferri, Luigi", + journal = "Am. Econ. J. Macroecon.", + publisher = "American Economic Association", + volume = 6, + number = 4, + pages = "107--136", + abstract = "We use responses to survey questions in the 2010 Italian Survey + of Household Income and Wealth that ask consumers how much of an + unexpected transitory income change they would consume. We find + that the marginal propensity to consume (MPC) is 48 percent on + average, and that there is substantial heterogeneity in the + distribution. We find that households with low cash-on-hand + exhibit a much lower MPC than affluent households, which is in + agreement with models with precautionary savings where income + risk plays an important role. The results have important + implications for the evaluation of fiscal policy, and for + predicting household responses to tax reforms and redistributive + policies. In particular, we find that a debt-financed increase in + transfers of 1 percent of national disposable income targeted to + the bottom decile of the cash-on-hand distribution would increase + aggregate consumption by 0.82 percent. Furthermore, we find that + redistributing 1\% of national disposable from the top to the + bottom decile of the income distribution would boost aggregate + consumption by 0.1\%.", + month = oct, + year = 2014 +} + +@ARTICLE{Kaplan2020-oh, + title = "Non-durable consumption and housing net worth in the Great + Recession: Evidence from easily accessible data", + author = "Kaplan, Greg and Mitman, Kurt and Violante, Giovanni L", + journal = "J. Public Econ.", + publisher = "Elsevier BV", + volume = 189, + number = 104176, + pages = 104176, + month = sep, + year = 2020, + language = "en" +} + +@TECHREPORT{Hagedorn2019-op, + title = "The Fiscal Multiplier", + author = "Hagedorn, Marcus and Manovskii, Iourii and Mitman, Kurt", + publisher = "National Bureau of Economic Research", + institution = "National Bureau of Economic Research", + address = "Cambridge, MA", + abstract = "We measure the size of the fiscal multiplier using a + heterogeneous-agent model with incomplete markets, capital and + rigid prices and wages. The environment encompasses the + essential elements necessary for a quantitative analysis of + fiscal policy. First, output is partially demand-determined due + to pricing frictions in product and labor markets, so that a + fiscal stimulus increases aggregate demand. Second, incomplete + markets deliver a realistic distribution of dynamic consumption + and investment responses to stimulus policies across the + population. These elements give rise to the standard textbook + Keynesian-cross logic which, and unlike conventional wisdom + would suggest, is significantly reinforced in our dynamic + forward looking model. We find that market incompleteness is + key to determining the size of the fiscal multiplier, which is + uniquely determined in our model for any combination of fiscal + and monetary policies of interest. The multiplier is 1.34 if + deficit-financed and 0.61 if contemporaneously tax-financed for + a pegged nominal interest rate, with similar values in a + liquidity trap. If monetary policy follows a Taylor rule, the + numbers drop to 0.66 and 0.54, respectively. We elucidate the + importance of market incompleteness for our results and + contrast them to models featuring complete markets or + hand-to-mouth consumers.", + month = feb, + year = 2019 +} + +@ARTICLE{Ramey1998-as, + title = "Costly capital reallocation and the effects of government + spending", + author = "Ramey, Valerie A and Shapiro, Matthew D", + journal = "Carnegie-Rochester Conf. Ser. Public Policy", + publisher = "Elsevier BV", + volume = 48, + pages = "145--194", + abstract = "Changes in government spending often lead to significant shifts + in demand across sectors. This paper analyzes the effects of + sector-specific changes in government spending in a two-sector + dynamic general equilibrium model in which the reallocation of + capital across sectors is costly. The two-sector model leads to a + richer array of possible responses of aggregate variables than + the one-sector model. The empirical part of the paper estimates + the effects of military buildups on a variety of macroeconomic + variables using a new measure of military shocks. The behavior of + macroeconomic aggregates is consistent with the predictions of a + multi-sector neoclassical model.", + month = jun, + year = 1998, + language = "en" +} + +@ARTICLE{Boone2014-ix, + title = "The political economy of discretionary spending: Evidence from + the American recovery and reinvestment act", + author = "Boone, Christopher and Dube, Arindrajit and Kaplan, Ethan", + journal = "Brookings Pap. Econ. Act.", + publisher = "Johns Hopkins University Press", + volume = 2014, + number = 1, + pages = "375--428", + abstract = "We study in this paper the spatial allocation of expenditures in + the American Recovery and Reinvestment Act (ARRA), one of the + largest discretionary funding bills in the history of the United + States. Contrary to both evidence from previous fiscal stimulus + programs and standard theories of legislative politics, we do not + find evidence of substantial political targeting. The districts + of party leaders did not receive more funds than those of + rank-and-file legislators, nor did the districts of pivotal + voters in the Senate or swing voters in the House receive more + money. While Democratic districts overall received more per + resident than Republican districts, this differential nearly + disappears when we consider award per worker in each district or + when we control for district poverty rate. Democratic states did + receive modestly greater funds, but this is largely due to higher + levels of funding going to places with more generous state + welfare programs. At the same time, we find no relationship + between the amount awarded and measures of the severity of the + downturn in the local economy, while we do find more funds + flowing to districts with higher levels of economic activity and + greater incidence of poverty. The results are consistent with the + discretionary component of ARRA being allocated through funding + formulas or based on project characteristics other than + countercyclical efficacy or political expediency, which stands in + contrast to evidence from fiscal stimulus in the New Deal. One + explanation suggests that over the past century, legislative + norms have reduced the scope of discretion—with attendant + benefits and costs.", + year = 2014 +} + +@ARTICLE{Nakamura2018-wz, + title = "Identification in macroeconomics", + author = "Nakamura, Emi and Steinsson, Jón", + journal = "J. Econ. Perspect.", + publisher = "American Economic Association", + volume = 32, + number = 3, + pages = "59--86", + abstract = "This paper discusses empirical approaches macroeconomists use to + answer questions like: What does monetary policy do? How large + are the effects of fiscal stimulus? What caused the Great + Recession? Why do some countries grow faster than others? + Identification of causal effects plays two roles in this process. + In certain cases, progress can be made using the direct approach + of identifying plausibly exogenous variation in a policy and + using this variation to assess the effect of the policy. However, + external validity concerns limit what can be learned in this way. + Carefully identified causal effects estimates can also be used as + moments in a structural moment matching exercise. We use the term + “identified moments” as a short-hand for “estimates of responses + to identified structural shocks,” or what applied microeconomists + would call “causal effects.” We argue that such identified + moments are often powerful diagnostic tools for distinguishing + between important classes of models (and thereby learning about + the effects of policy). To illustrate these notions we discuss + the growing use of cross-sectional evidence in macroeconomics and + consider what the best existing evidence is on the effects of + monetary policy.", + month = aug, + year = 2018, + language = "en" +} + +@ARTICLE{Chodorow-Reich2019-zl, + title = "Geographic cross-sectional fiscal spending multipliers: What have + we learned?", + author = "Chodorow-Reich, Gabriel", + journal = "Am. Econ. J. Econ. Policy", + publisher = "American Economic Association", + volume = 11, + number = 2, + pages = "1--34", + abstract = "A geographic cross-sectional fiscal spending multiplier measures + the effect of an increase in spending in one region of a monetary + union. Empirical studies of such multipliers have proliferated. I + review this research and what the evidence implies for national + multipliers. Based on an updated analysis of the ARRA and a + survey of empirical studies, my preferred point estimate for a + cross-sectional multiplier is 1.8. The paper also discusses + conditions under which the cross-sectional multiplier provides a + rough lower bound for the national, no-monetary-policy-response + multiplier. Putting these elements together, the cross-sectional + evidence suggests a national no-monetary-policy-response + multiplier of 1.7 or above. (JEL E32, E52, E62, H54, H76, R53)", + month = may, + year = 2019, + language = "en" +} + +@TECHREPORT{Dupor2014-hh, + title = "The 2009 recovery act: Stimulus at the extensive and intensive + labor margins", + author = "Dupor, Bill and Mehkari, M Saif", + publisher = "Federal Reserve Bank of St. Louis", + institution = "Federal Reserve Bank of St. Louis", + year = 2014 +} + +@ARTICLE{Barro1984-ue, + title = "Time-separable preferences and intertemporal-substitution models + of business cycles", + author = "Barro, Robert J and King, Robert G", + journal = "Q. J. Econ.", + publisher = "Oxford University Press (OUP)", + volume = 99, + number = 4, + pages = 817, + month = nov, + year = 1984 +} + +@ARTICLE{Nakamura2013-gl, + title = "Appendix to : Fiscal stimulus in a monetary union : Evidence from + {U} . s . regions", + author = "Nakamura, Emi and Steinsson, Jón", + year = 2013 +} + +@ARTICLE{Nakamura2011-dw, + title = "{NBER} {WORKING} {PAPER} {SERIES} {FISCAL} {STIMULUS} {IN} A + {MONETARY} {UNION}: {EVIDENCE} {FROM} {U}.{S}. {REGIONS}", + author = "Nakamura, Emi and Steinsson, J and Crouzet, Nicolas and Luo, Shaowen + and Nguyen, Thuy Lan and Davis, Steve and Eggertsson, Gauti B and + Galí, Jordi and Hurst, Erik and Mertens, Karel and Moreira, Marcelo + and Stock, James and Werning, I and Woodford, Michael and Yared, P + and Yogo, Motohiro", + year = 2011 +} + +@ARTICLE{Uhlig2010-yc, + title = "Some fiscal calculus", + author = "Uhlig, Harald", + journal = "Am. Econ. Rev.", + publisher = "American Economic Association", + volume = 100, + number = 2, + pages = "30--34", + month = may, + year = 2010, + language = "en" +} + +@ARTICLE{Gali2008-jt, + title = "Optimal monetary and fiscal policy in a currency union", + author = "Galí, Jordi and Monacelli, Tommaso", + journal = "J. Int. Econ.", + publisher = "Elsevier BV", + volume = 76, + number = 1, + pages = "116--132", + abstract = "We lay out a tractable model for the analysis of optimal monetary + and fiscal policy in a currency union. The monetary authority + sets a common interest rate for the union, whereas fiscal policy + is implemented at the country level, through the choice of + government spending. In the presence of country-specific shocks + and nominal rigidities, the policy mix that is optimal from the + viewpoint of the union as a whole requires that inflation be + stabilized at the union level by the common central bank, whereas + fiscal policy has a country-specific stabilization role, one + beyond the efficient provision of public goods.", + month = sep, + year = 2008, + language = "en" +} + +@ARTICLE{Gervais2019-np, + title = "The tradability of services: Geographic concentration and trade + costs", + author = "Gervais, Antoine and Jensen, J Bradford", + journal = "J. Int. Econ.", + publisher = "Elsevier BV", + volume = 118, + pages = "331--350", + month = may, + year = 2019, + language = "en" +} + +@ARTICLE{House2020-ho, + title = "Austerity in the aftermath of the great recession", + author = "House, Christopher L and Proebsting, Christian and Tesar, Linda L", + journal = "J. Monet. Econ.", + publisher = "Elsevier BV", + volume = 115, + pages = "37--63", + month = nov, + year = 2020, + language = "en" +} + +@ARTICLE{Gali2007-ji, + title = "Understanding the effects of government spending on consumption", + author = "Galí, Jordi and López-Salido, J David and Vallés, Javier", + journal = "J. Eur. Econ. Assoc.", + publisher = "Oxford University Press (OUP)", + volume = 5, + number = 1, + pages = "227--270", + month = mar, + year = 2007, + language = "en" +} + +@ARTICLE{Hagedorn2016-un, + title = "A demand theory of the price level", + author = "Hagedorn, Marcus", + journal = "Econometric Modeling: Macroeconomics eJournal", + month = jun, + year = 2016 +} + +@ARTICLE{Carley2014-ik, + title = "The American Recovery and Reinvestment Act: Lessons from energy + program implementation efforts", + author = "Carley, Sanya and Hyman, Martin", + journal = "State Local Gov. Rev.", + publisher = "SAGE Publications", + volume = 46, + number = 2, + pages = "130--137", + abstract = "The American Recovery and Reinvestment Act injected approximately + US\$840 billion into the U.S. economy for job creation, + technological advancement, and infrastructure development. This + study examines energy-related Recovery Act program + implementation. The Recovery Act provided many immediate benefits + to the economy, environment, and energy sector, but + implementation was hindered by several conditions. This study + offers selected case studies and a set of lessons learned for + state officials.", + month = jun, + year = 2014, + language = "en" +} + +@TECHREPORT{Bee2012-xe, + title = "The validity of consumption data: Are the consumer expenditure + interview and diary surveys informative?", + author = "Bee, Adam and Meyer, Bruce and Sullivan, James", + publisher = "National Bureau of Economic Research", + institution = "National Bureau of Economic Research", + address = "Cambridge, MA", + abstract = "This paper examines the quality of data collected in the + Consumer Expenditure (CE) Survey, which is the source for the + Consumer Price Index weights and is the main source of U.S. + consumption microdata. We compare reported spending on a large + number of categories of goods and services to comparable + national income account data. We do this separately for the two + components of the CE--the Interview Survey and the Diary + Survey--rather than a combination that has been used in past + comparisons. We find that most of the largest categories of + consumption are measured well in the Interview Survey as the + ratio to the national account data is close to one and has not + declined appreciably over time. Several other large categories + are reported at a low rate or have seen the ratio to the + national accounts decline over time. The results are less + encouraging for the Diary Survey. There is no large Diary + category that is both measured well and reported at a higher + rate than in the Interview Survey. We also compare the + ownership of and the value of durables, such as homes and cars, + in the CE to other sources. This evidence suggests the CE + performs fairly well. Based on observable characteristics, the + CE Survey appears to be fairly representative, although there + is strong evidence of under-representation at the top of the + income distribution and under-reporting of income and + expenditures at the top. We then examine the precision of the + two surveys and the frequency of no spending overall or for a + given spending category. In the Diary Survey, we find much + greater dispersion in spending and the dispersion relative to + the Interview Survey varies across goods and over time. Diary + respondents are much more likely to report zero spending for a + consumption category, and a high and increasing fraction of + respondents reporting zero for all categories. These results + suggest that using Diary data to assess inequality trends and + other distributional outcomes is likely to lead to biased and + misleading results. Our results have important implications for + interpreting and properly using CE data and how best to + redesign the CE.", + month = aug, + year = 2012 +} + +@ARTICLE{Woodford2011-jp, + title = "Simple analytics of the government expenditure multiplier", + author = "Woodford, Michael", + journal = "Am. Econ. J. Macroecon.", + publisher = "American Economic Association", + volume = 3, + number = 1, + pages = "1--35", + month = jan, + year = 2011 +} + +@ARTICLE{Ramey2019-go, + title = "Ten years after the financial crisis: What have we learned from + the Renaissance in fiscal research?", + author = "Ramey, Valerie A", + journal = "J. Econ. Perspect.", + publisher = "American Economic Association", + volume = 33, + number = 2, + pages = "89--114", + abstract = "This paper takes stock of what we have learned from the + “Renaissance” in fiscal research in the ten years since the + financial crisis. I first discuss the new innovations in + methodology and various strengths and weaknesses of the main + approaches to estimating fiscal multipliers. Reviewing the + estimates, I come to the surprising conclusion that the bulk of + the estimates for average spending and tax change multipliers lie + in a fairly narrow range, 0.6 to 1 for spending multipliers and + -2 to -3 for tax change multipliers. However, I identify economic + circumstances in which multipliers lie outside those ranges. + Finally, I review the debate on whether multipliers were higher + for the 2009 Obama stimulus spending in the United States or for + fiscal consolidations in Europe.", + month = may, + year = 2019, + language = "en" +} + +@ARTICLE{Gourio2010-si, + title = "Firm heterogeneity and the Long-run effects of dividend tax + reform", + author = "Gourio, François and Miao, Jianjun", + journal = "Am. Econ. J. Macroecon.", + publisher = "American Economic Association", + volume = 2, + number = 1, + pages = "131--168", + abstract = "To study the long-run effect of dividend taxation on aggregate + capital accumulation, we build a dynamic general equilibrium + model in which there is a continuum of firms subject to + idiosyncratic productivity shocks. We find that a dividend tax + cut raises aggregate productivity by reducing the frictions in + the reallocation of capital across firms. Our baseline model + simulations show that when both dividend and capital gains tax + rates are cut from 25 and 20 percent, respectively, to the same + 15 percent level permanently, the aggregate long-run capital + stock increases by about 4 percent.", + month = jan, + year = 2010 +} + +@ARTICLE{Huggett1993-ft, + title = "The risk-free rate in heterogeneous-agent incomplete-insurance + economies", + author = "Huggett, Mark", + journal = "J. Econ. Dyn. Control", + publisher = "Elsevier BV", + volume = 17, + number = "5-6", + pages = "953--969", + abstract = "Why has the average real risk-free interest rate been less than + one percent? The question is motivated by the failure of a class + of calibrated representative-agent economies to explain the + average return to equity and risk-free debt. I construct an + economy where agents experience uninsurable idiosyncratic + endowment shocks and smooth consumption by holding a risk-free + asset. I calibrate the economy and characterize equilibria + computationally. With a borrowing constraint of one year's + income, the resulting risk-free rate is more than one percent + below the rate in the comparable representative-agent economy.", + month = sep, + year = 1993, + language = "en" +} + +@ARTICLE{Kaplan2018-sr, + title = "Monetary policy according to {HANK}", + author = "Kaplan, Greg and Moll, Benjamin and Violante, Giovanni L", + journal = "Am. Econ. Rev.", + publisher = "American Economic Association", + volume = 108, + number = 3, + pages = "697--743", + abstract = "We revisit the transmission mechanism from monetary policy to + household consumption in a Heterogeneous Agent New Keynesian + (HANK) model. The model yields empirically realistic + distributions of wealth and marginal propensities to consume + because of two features: uninsurable income shocks and multiple + assets with different degrees of liquidity and different returns. + In this environment, the indirect effects of an unexpected cut in + interest rates, which operate through a general equilibrium + increase in labor demand, far outweigh direct effects such as + intertemporal substitution. This finding is in stark contrast to + small- and medium-scale Representative Agent New Keynesian (RANK) + economies, where the substitution channel drives virtually all of + the transmission from interest rates to consumption. Failure of + Ricardian equivalence implies that, in HANK models, the fiscal + reaction to the monetary expansion is a key determinant of the + overall size of the macroeconomic response. (JEL D31, E12, E21, + E24, E43, E52, E62)", + month = mar, + year = 2018, + language = "en" +} + + +@ARTICLE{Floden2001-vb, + title = "Idiosyncratic risk in the United States and Sweden: Is there a + role for government insurance?", + author = "Floden, Martin and Lindé, Jesper", + journal = "Rev. Econ. Dyn.", + publisher = "Elsevier BV", + volume = 4, + number = 2, + pages = "406--437", + month = apr, + year = 2001, + language = "en" +} + +@ARTICLE{McKay2016-si, + title = "The power of forward guidance revisited", + author = "McKay, Alisdair and Nakamura, Emi and Steinsson, Jón", + journal = "Am. Econ. Rev.", + publisher = "American Economic Association", + volume = 106, + number = 10, + pages = "3133--3158", + abstract = "In recent years, central banks have increasingly turned to + forward guidance as a central tool of monetary policy. Standard + monetary models imply that far future forward guidance has huge + effects on current outcomes, and these effects grow with the + horizon of the forward guidance. We present a model in which the + power of forward guidance is highly sensitive to the assumption + of complete markets. When agents face uninsurable income risk and + borrowing constraints, a precautionary savings effect tempers + their responses to changes in future interest rates. As a + consequence, forward guidance has substantially less power to + stimulate the economy. (JEL E21, E40, E50)", + month = oct, + year = 2016, + language = "en" +} + +@ARTICLE{Auclert2019-dr, + title = "Monetary policy and the redistribution channel", + author = "Auclert, Adrien", + journal = "Am. Econ. Rev.", + publisher = "American Economic Association", + volume = 109, + number = 6, + pages = "2333--2367", + abstract = "This paper evaluates the role of redistribution in the + transmission mechanism of monetary policy to consumption. Three + channels affect aggregate spending when winners and losers have + different marginal propensities to consume: an earnings + heterogeneity channel from unequal income gains, a Fisher channel + from unexpected inflation, and an interest rate exposure channel + from real interest rate changes. Sufficient statistics from + Italian and US data suggest that all three channels are likely to + amplify the effects of monetary policy. (JEL E21, E31, E43, E52)", + month = jun, + year = 2019, + language = "en" +} + +@ARTICLE{Kaplan2014-ee, + title = "A Model of the Consumption Response to Fiscal Stimulus Payments", + author = "Kaplan, Greg and Violante, Giovanni L", + journal = "Econometrica", + abstract = "A wide body of empirical evidence, based on randomized + experiments, finds that 20-40 percent of fiscal stimulus payments + (e.g. tax rebates) are spent on non-durable household consumption + in the quarter that they are received. We develop a structural + economic model to interpret this evidence. Our model integrates + the classical Baumol-Tobin model of money demand into the + workhorse incomplete-markets life-cycle economy. In this + framework, households can hold two assets: a low-return liquid + asset (e.g., cash, checking account) and a high-return illiquid + asset (e.g., housing, retirement account) that carries a + transaction cost. The optimal life-cycle pattern of wealth + accumulation implies that many households are ``wealthy + hand-to-mouth'': they hold little or no liquid wealth despite + owning sizable quantities of illiquid assets. They therefore + display large propensities to consume out of additional income. We + document the existence of such households in data from the Survey + of Consumer Finances. A version of the model parametrized to the + 2001 tax rebate episode is able to generate consumption responses + to fiscal stimulus payments that are in line with the data.", + year = 2014 +} + +@ARTICLE{Mian2013-wr, + title = "Household balance sheets, consumption, and the economic slump", + author = "Mian, Atif and Rao, Kamalesh and Sufi, Amir", + journal = "Q. J. Econ.", + publisher = "Oxford University Press (OUP)", + volume = 128, + number = 4, + pages = "1687--1726", + abstract = "Abstract We investigate the consumption consequences of the + 2006–9 housing collapse using the highly unequal geographic + distribution of wealth losses across the United States. We + estimate a large elasticity of consumption with respect to + housing net worth of 0.6 to 0.8, which soundly rejects the + hypothesis of full consumption risk-sharing. The average marginal + propensity to consume (MPC) out of housing wealth is 5–7 cents + with substantial heterogeneity across ZIP codes. ZIP codes with + poorer and more levered households have a significantly higher + MPC out of housing wealth. In line with the MPC result, ZIP codes + experiencing larger wealth losses, particularly those with poorer + and more levered households, experience a larger reduction in + credit limits, refinancing likelihood, and credit scores. Our + findings highlight the role of debt and the geographic + distribution of wealth shocks in explaining the large and unequal + decline in consumption from 2006 to 2009.", + month = nov, + year = 2013, + language = "en" +} diff --git a/models/We-Would-Like-In-Econ-ARK/Dupor2023-bn/self.bib b/models/We-Would-Like-In-Econ-ARK/Dupor2023-bn/self.bib new file mode 100644 index 00000000..f69c0867 --- /dev/null +++ b/models/We-Would-Like-In-Econ-ARK/Dupor2023-bn/self.bib @@ -0,0 +1,26 @@ +@ARTICLE{Dupor2023-bn, + title = "Regional Consumption Responses and the Aggregate Fiscal Multiplier", + author = "Dupor, Bill and Karabarbounis, Marios and Kudlyak, Marianna and + Saif Mehkari, M", + journal = "Rev. Econ. Stud.", + volume = 90, + number = 6, + pages = "2982--3021", + abstract = "We use regional variation in the American Recovery and + Reinvestment Act (2009–12) to analyse the effect of government + spending on consumer spending. Our consumption data come from + household-level retail purchases in the Nielsen scanner data and + auto purchases from Equifax credit balances. We estimate that a $1 + increase in county-level government spending increases local + non-durable consumer spending by $0.29 and local auto spending by + \$0.09. We translate the regional consumption responses to an + aggregate fiscal multiplier using a multi-region, new Keynesian + model with heterogeneous agents, incomplete markets, and trade + linkages. Our model is consistent with the estimated positive + local multiplier, a result that distinguishes our incomplete + markets model from models with complete markets. At the zero lower + bound, the aggregate consumption multiplier is twice as large as + the local multiplier because trade linkages propagate the effect + of government spending across regions.", + year = 2023 +} diff --git a/models/We-Would-Like-In-Econ-ARK/Dupor2023-bn/source/Dupor-bn.pdf b/models/We-Would-Like-In-Econ-ARK/Dupor2023-bn/source/Dupor-bn.pdf new file mode 100644 index 0000000000000000000000000000000000000000..6b7c66a68cb8457a55084693365e22b0a88f2b24 GIT binary patch literal 4002899 zcmV)VK(D_gP((&8F)lL-CF0}H(+V;mFd%PYY6?6&FHB`_XLM*FGchqWGcQbKZfA68 zF(5ZKGBq+UMrmwxWpXb@Y+-a|L}g=dWMw`+b98cLVQmU{ob0@bV-wZ-KYY%aeI}Ec zNz*J%+N4cWmaw*EDO4JEk$tNzQYrf`tGI!nvRP1Z-xUbIv^Tc|Ol_PKq!>NJUE!hl1m0j-B0Y*E5@7 z&r1k3dwKkV`N55^9laBw=A#i3ubDJ^^32Z9xFQI(c@H5iHhIPklMXLB+Xta83lSQ5 zcFM%D6HfLo--pne`EZSnQ(%XqC~FLC!}U=9l$rCdFQ2jl#5D&H>N9G_tnp)o56@0O z=+joPT|IN`^|Re~D4P(@UJZ?cv*%8ny>9b~A7LBLx3z_RT=L~dblfOo9BhH)oPzia z7zgeJ8xrb;ZpLvEB$Z?%7vctU*Kv!v8g4bWj@!?j<#m3r&{ilH#t18f8sRSCE#XJu 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