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 …

informative data originating from administrative records. Using a matching estimator for multiple programmes, we find positive …

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 …

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. …

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

matching, inverse probability weighting and doubly robust estimators change under the case of correlated covariates …