Our survey covers the recent developments of the microeconometric literature on evaluation methods. In this field, the … defining and for examining the identifiability conditions of the parameters of interest in any evaluation study. We insist on … matching estimators in the situation where the selectivity depends only on observables, and on differences …

Propensity score based-estimators are commonly used to estimate causal effects in evaluation research. To reduce bias … matching, inverse probability weighting and doubly robust estimators change under the case of correlated covariates …

earnings in subsequent employment. Any evaluation needs to take into account that some of those who are not trained at a …

marginal treatment effect. All of the estimation methods used in the applied evaluation literature, such as matching … evaluation of social programs. The marginal treatment effect is a choice-theoretic parameter that can be interpreted as a …

This paper discusses the evaluation problem using observational data when the timing of treatment is an outcome of a … suggest easy-to-use nonparametric survival function matching estimators. These estimators can be used to estimate the time …