Fairness Implications of Heterogeneous Treatment Effect Estimation with Machine Learning Methods in Policy-making

Patrick Rehill, Nicholas Biddle

Causal machine learning methods which flexibly generate heterogeneous treatment effect estimates could be very useful tools for governments trying to make and implement policy. How…