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 …

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 …

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 …

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

) 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. …

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

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

security records. We apply a matching estimator adapted for the case of multiple programs. We find substantial positive effects …