TY  - RPRT
        AU  - Busso, Matias
AU  - DiNardo, John
AU  - McCrary, Justin
        TI  - New Evidence on the Finite Sample Properties of Propensity Score Matching and Reweighting Estimators
        PY  - 2009/Feb/
        PB  - Institute of Labor Economics (IZA)
        CY  - Bonn
        T2  - IZA Discussion Paper
        IS  - 3998
        UR  - https://www.iza.org/index.php/publications/dp3998
        AB  - Currently available asymptotic results in the literature suggest that matching estimators have higher variance than reweighting estimators. The extant literature comparing the finite sample properties of matching to specific reweighting estimators, however, has concluded that reweighting performs far worse than even the simplest matching estimator. We resolve this puzzle. We show that the findings from the finite sample analyses are not inconsistent with asymptotic analysis, but are very specific to particular choices regarding the implementation of reweighting, and fail to generalize to settings likely to be encountered in actual empirical practice. In the DGPs studied here, reweighting typically outperforms propensity score matching.
        KW  - semiparametric efficiency
KW  - propensity score
KW  - treatment effects
        ER  -