caseworker and unemployed, does not lead to detectable effects on employment. These results, obtained by statistical matching …

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 …

Matching estimators are widely used in statistical data analysis. However, the distribution of matching estimators has … matching estimators. This representation allows the use of martingale limit theorems to derive the asymptotic distribution of … matching estimators. As an illustration of the applicability of the theory, we derive the asymptotic distribution of a matching …

and social security records. We apply a matching estimator adapted for the case of multiple programmes. We find …

We use the data from the National Supported Work Demonstration to study performance of non-propensity-score-matching … estimators, and to compare them with propensity score matching. We find that all matching estimators we studied here are … larger standard error. Difference-in-differences and bias-corrected matching improve the performance of the matching …