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

@article{Ho2007MatchingAN, title={Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference}, author={Daniel E. Ho and Kosuke Imai and Gary King and Elizabeth A. Stuart}, journal={Political Analysis}, year={2007}, volume={15}, pages={199 - 236} }

Although published works rarely include causal estimates from more than a few model specifications, authors usually choose the presented estimates from numerous trial runs readers never see. Given the often large variation in estimates across choices of control variables, functional forms, and other modeling assumptions, how can researchers ensure that the few estimates presented are accurate or representative? How do readers know that publications are not merely demonstrations that it is…

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