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 …

suggest easy-to-use nonparametric survival function matching estimators. These estimators can be used to estimate the time …

Propensity score matching provides an estimate of the effect of a 'treatment' variable on an outcome variable that is … largely free of bias arising from an association between treatment status and observable variables. However, matching methods … undermine the conclusions about causal effects from a matching analysis. Instrumental variables (IV) estimation provides an …

We analyze the consequences of counseling provided to job seekers in a standard job search and matching model. It turns …

using matching methods. Because precise estimation of the expected counterfactual is particularly important in regions …

policy by the caseworkers at local employment offices in Switzerland in 1998. We are particularly interested in whether the … security records. For the estimation we apply matching estimators adapted to the case of multiple programmes. The number of …

Arbeitsvermittlungsagentur (MAVA) - mit Hilfe von Matching-Methoden untersucht. In der MAVA arbeiten Mitarbeiter des Sozial- und Arbeitsamts eng …

employment prospects of participants. First, our results show that different matching algorithms result in different severe …