Women, Business, and the Law: A Case for Better Data Collection

Overview of Paper

This self-directed research repo reproduces and builds on Hyland, Djankov, and Goldberg's paper "Gendered Laws and Women in the Workforce" published in the 2020 American Economic Review.

File Structure

The repository is structured as follows:

• input/data contains the data sources used in analysis including the raw data.
• outputs/data contains the cleaned dataset that was constructed.
• outputs/paper contains the files used to generate the paper, including the Quarto document and reference bibliography file, as well as the PDF of the paper.
• scripts contains the R scripts used to simulate, download and clean data.

Reproducing Graphs and Tables

Here is a quick guide to reproducing the graphs and tables.

1. Clone this repository to your computer
2. Download the data from the replication package folder
3. Clean it using data cleaning file in scripts
4. Open the paper.qmd file in outputs to test the R code that generated the plots

Check out our DOI on the Social Science Reproduction Platform: https://doi.org/10.48152/ssrp-qeab-5493

Notes:

Our folder structure and workflow is based on a similar one created by Rohan Alexander, available at https://github.com/RohanAlexander/starter_folder

LLM Usage Disclosure: Aspects of our R code and paper were written and edited with the assistance of Large Language Models, in particular Claude-2 and GPT-4 (Microsoft Copilot). The chat history with both models are each available in inputs/copilot.txt