This paper proposes sequential matching and inverse selection probability weighting to estimate dynamic casual effects …. The sequential matching estimators extend simple, matching estimators based on propensity scores for static causal … estimators perform well in small and medium seize samples. Based on the application of the sequential matching estimators to an …

This paper proposes sequential matching and inverse selection probability weighting to estimate dynamic causal effects …. The sequential matching estimators extend simple, matching estimators based on propensity scores for static causal … estimators perform well in small and medium size samples. Based on the application of the sequential matching estimators to an …

) proposed matching estimators for this framework. However, many practical issues that might have substantial consequences for … shares many features of data that could be used for an empirical dynamic matching analysis. …

regressions and results of a matching approach suggest that immigrants have grade disadvantages in primary education. In Germany …

justifies the application of a matching estimator but also allows to take account of threefold heterogeneity. The recently …

bis Dezember 2002. Unter Verwendung von Matching- Methoden auf dem Ansatz potenzieller Ergebnisse werden die Effekte von …

Matching has become a popular approach to estimate average treatment effects. It is based on the conditional … matching estimators are not robust. We address this problem with the bounding approach proposed by Rosenbaum (2002), where … to undermine the implications of the matching analysis. …