New Evidence on the Finite Sample Properties of Propensity Score Reweighting and Matching Estimators
倾向得分重加权与匹配估计量有限样本性质的新证据
Fr�lich (2004) compares the finite sample properties of reweighting and matching estimators of average treatment effects and concludes that reweighting performs far worse than even the simplest matching estimator. We argue that this conclusion is unjustified. Neither approach dominates the other uniformly across data-generating processes (DGPs). Expanding on Fr�lich's analysis, this paper analyzes empirical as well as hypothetical DGPs and also examines the effect of…