due to mismeasured variables. We consider sample merger by matching on identifiers that may be imperfect in the case that …

This paper reviews the main identification and estimation strategies for microeconomic policy evaluation. Particular … nonparametric matching and weighting estimators of the average treatment effects and their properties are examined. …

Propensity score matching is widely used in treatment evaluation to estimate average treatment effects. Nevertheless …

-employment probability, and probability of regular education. A non-parametric matching approach based on conditional independence assumption … is applied to estimate the average program effects. Moreover, the results obtained by matching are compared to results …

training. A non-parametric matching approach is applied to estimate the average program effects. Moreover, the results obtained … by matching are compared to results from standard linear regression and probit models, and a polychotomous selectivity …

explain the need for evaluation on the micro- and macroeconomic level, introduce the fundamental evaluation problem and … solutions to it, give an overview of the newer developments in evaluation literature and finally take a look on empirical …

identifiziert werden. Die empirischen Analysen basieren auf einem statistischen Matching-Verfahren, mit dem für jedes identifizierte … causal effects a statistical matching procedure is used to draw an adequate control group from the pool of all available …

countries. Previous evaluation results show pre-dominantly (very) positive results indicating that these programs are an … effective way to increase employment probabilities and income of participants. Most of the studies are using matching estimators … previous evaluation studies are based on administrative data, information on such variables is not available. This raises the …