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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 …
Persistent link: https://www.econbiz.de/10005761999
matching, inverse probability weighting and doubly robust estimators change under the case of correlated covariates …
Persistent link: https://www.econbiz.de/10011168915
informative data originating from administrative records. Using a matching estimator for multiple programmes, we find positive …
Persistent link: https://www.econbiz.de/10005666683
Persistent link: https://www.econbiz.de/10005598070
The need to evaluate the performance of active labour market policies is not questioned any longer. Even though OECD countries spend significant shares of national resources on these measures, unemployment rates remain high or even increase. We focus on microeconometric evaluation which has to...
Persistent link: https://www.econbiz.de/10005762283
and social security records. We apply a matching estimator adapted for the case of multiple programmes. We find …
Persistent link: https://www.econbiz.de/10005762319
justifies the application of a matching estimator but also allows to take account of threefold heterogeneity. The recently …
Persistent link: https://www.econbiz.de/10005762428
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. …
Persistent link: https://www.econbiz.de/10005700879
the approach retains its basic simplicity. The paper also outlines a matching estimator potentially suitable in that …
Persistent link: https://www.econbiz.de/10005703058
The paper introduces the appropriate within estimators for the most frequently used three-dimensional fixed effects panel data models. It analyzes the behavior of these estimators in the cases of no self-flow data, unbalanced data, and dynamic autoregressive models. The main results are then...
Persistent link: https://www.econbiz.de/10011202965