  We propose a simple and general framework for nonparametric estimation of
heterogeneous treatment effects under fairness constraints. Under standard
regularity conditions, we show that the resulting estimators possess the double
robustness property. We use this framework to characterize the trade-off
between fairness and the maximum welfare achievable by the optimal policy. We
evaluate the methods in a simulation study and illustrate them in a real-world
case study.
