Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference

A unified approach is proposed that makes it possible for researchers to preprocess data with matching and then to apply the best parametric techniques they would have used anyway and this procedure makes parametric models produce more accurate and considerably less model-dependent causal inferences.