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 …

the approach retains its basic simplicity. The paper also outlines a matching estimator potentially suitable in that …

and social security records. We apply a matching estimator adapted for the case of multiple programmes. We find …

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

problem, i.e. to find an adequate control group for the group of trainees, we employ matching methods. The training effect is …

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

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. …