the setting of selection on unobservables. It is shown that propensity score matching can be used to decompose effects due …Propensity score matching is a nonparametric technique frequently used for estimating average treatment effects. Yet … its applicability is not confined to treatment evaluation. In this paper the propensity score property is generalized to …

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

non experimental data. After estimating by propensity score matching with multiple treatments, I find a statistically …

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

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

This paper presents genetic matching, a method of multivariate matching that uses an evolutionary search algorithm to … determine the weight each covariate is given. Both propensity score matching and matching based on Mahalanobis distance are … limiting cases of this method. The algorithm makes transparent certain issues that all matching methods must confront. We …

This paper compares the inverse-probability-of-selection-weighting estimation principle with the matching principle and … derives conditions for weighting and matching to identify the same and the true distribution, respectively. This comparison …

heterogeneity in educational decisions, several empirical specifications including propensity score matching are tested. The results …