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hte_machinelearning

This repository keeps the codes used in estimating heterogeneous treatment effects using machine learning approaches in Brand et al., 2020.

This repository includes the following R scripts:

  • 0_setup.R: set up the working environment and load necessary packages
  • 1_CausalTree_Functions.R: define functions to estimate the heterogeneous treatment effects, adjust the estimates, and visualize the results
  • 2_run_grf.R: use generalized random forest (grf) to estimate the heterogeneous treatment effects
  • 3_RunResults.R: run main results incorporated in Brand et al., 2020