Kernel Methods for Causal Functions: Dose Response Curves and
Heterogeneous Treatment Effects
Kernel Methods for Causal Functions: Dose Response Curves and
Heterogeneous Treatment Effects
We propose a family of estimators based on kernel ridge regression for nonparametric causal functions such as the dose response curve, heterogeneous treatment effect, and incremental response curve. We assume selection on observable covariates. Treatment and covariates may be discrete or continuous and may take values in general spaces. We …