/Calibrating-doubly-robust-estimators-with-unbalanced-treatment-assignment

Code to replicate the simulation study in the paper "Calibrating doubly-robust estimators with unbalanced treatment assignment"

Primary LanguagePython

Calibrating doubly-robust estimators with unbalanced treatment assignment - Simulation

Code to replicate the simulation study in the paper "Calibrating doubly-robust estimators with unbalanced treatment assignment".

The code implements two different simulations strategies:

  • Simulation 1: Synthetic DGP
  • Simulation 2: Empirical Monte Carlo Study

When the argument --data_path is None, the code will run the synthetic DGP simulation. Otherwise, it will run the empirical Monte Carlo study. The data used in the empirical Monte Carlo study is obtained from https://doi.org/10.23662/FORS-DS-1203-1.