previous jobs. Based on conditional propensity score matching methods we estimate the long-term effects of the programs against …

-in-difference matching strategy based on firm level panel data. In addition, we implement a more structural approach with a tax rate …

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 … identifying assumption has become an increasingly important topic in the applied evaluation literature. If there are unobserved … matching estimators are not robust. We address this problem with the bounding approach proposed by Rosenbaum (2002), where …

propensity score matching methods we extend the picture that has been sketched in previous studies by estimating treatment …