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 …

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

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

unusually informative data originating from administrative unemployment and social security records. We apply a matching …

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

evaluation. -- evaluation ; effect heterogeneity ; matching ; dynamic treatments …

Propensity Score Matching (PSM) has become a popular approach to estimate causal treatment effects. It is widely … decision has to be made concerning the estimation of the propensity score. Following that one has to decide which matching … algorithm to choose and determine the region of common support. Subsequently, the matching quality has to be assessed and …

Propensity Score Matching (PSM) has become a popular approach to estimate causal treatment effects. It is widely … decision has to be made concerning the estimation of the propensity score. Following that one has to decide which matching … algorithm to choose and determine the region of common support. Subsequently, the matching quality has to be assessed and …