Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/35376 
Erscheinungsjahr: 
2009
Schriftenreihe/Nr.: 
IZA Discussion Papers No. 3998
Verlag: 
Institute for the Study of Labor (IZA), Bonn
Zusammenfassung: 
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.
Schlagwörter: 
Treatment effects
propensity score
semiparametric efficiency
JEL: 
C14
C21
C52
Persistent Identifier der Erstveröffentlichung: 
Dokumentart: 
Working Paper

Datei(en):
Datei
Größe
381.7 kB





Publikationen in EconStor sind urheberrechtlich geschützt.