This paper assesses the dynamics of treatment effects arising from variation in the duration of training. We use German ….e. days of training, to the individual post-treatment employment probability (the response). The dose-response function is … planned training durations as treatment variables: If only actual durations are observed, treatment effect estimates may be …

We investigate the matching algorithm used by the German central clearinghouse for university admissions (ZVS) in … criteria applied for admission they all make use of priority matching. In priority matching schemes, it is not a dominant … applicants, we are able to detect some amount of strategic behaviour which can lead to inefficient matching. Alternative ways to …

Having close linkages with the counterfactual concept of causality, nonparametric matching estimators have recently … causal model (RCM), the paper discusses the implementation of counterfactual analyses by propensity score matching methods … underlying matching methods relative to standard regression analysis. We then illustrate the application of matching estimators …

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. …

This study analyzes the treatment effects of public training programs for the unemployed in Germany. Based on … propensity score matching methods we extend the picture that has been sketched in previous studies by estimating treatment … - conflicting with the strategy to increasingly provide training to individuals with better employment prospects. …

terms of false positive and false negative rates. The five independent matching exercises also shed light on the potential … returns from hierarchical and pooled matching. …