Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference
Daniel E. Ho, Kosuke Imai, Gary King et al.
2007 · Political Analysis · 4,334 citations
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 possible to find a specification that fits the author's favorite hypothesis? And how do we evaluate or ev…
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