evaluation approach and are based on different types of matching estimators. We find some positive earnings effect for on …

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 …

Based on the conditional independence or unconfoundedness assump- tion, matching has become a popular approach to … matching estimators are not robust. We address this prob- lem with the bounding approach proposed by Rosenbaum (Observational … influence the selection process to undermine the implications of the matching analysis. Copyright 2007 by StataCorp LP. …

-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 …

of regression functions and matching estimators based on kernel methods with mixed categorical and continuous data. A …-neighbor matching on kernel-based propensity score with mixed categorical and continuous data produces a closer approximation to the …

Matching has become a popular approach to estimate average treatment effects. It is based on the conditional … matching estimators are not robust. We address this problem with the bounding approach proposed by Rosenbaum (2002), where … to undermine the implications of the matching analysis. …

the approach retains its basic simplicity. The paper also outlines a matching estimator potentially suitable in that …

surrounding residents. In this paper we use matching techniques to recover the average capitalized value of lakes to surrounding …. Importantly, we consider the role of both unobservable and observable features of matching to recover heterogeneous capitalization …