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

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

nonparametric matching and weighting estimators of the average treatment effects and their properties are examined. …

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

Propensity score matching is a nonparametric technique frequently used for estimating average treatment effects. Yet … the setting of selection on unobservables. It is shown that propensity score matching can be used to decompose effects due …. Furthermore, the generalized propensity score property justifies the use of propensity score matching in difference …

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 …

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

using matching methods. Because precise estimation of the expected counterfactual is particularly important in regions …