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 …

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

) 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. …

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