The matching method for treatment evaluation does not balance selective unobserved differences between treated and non …, provide a natural application. In an empirical analysis, we first examine the performance of matching versus regression …, where compliance is imperfect among the young. Adjusting the matching estimator for selectivity changes the results towards …

flexibly conditioning on benefit histories, as well as taking account of complex sample designs when applying matching methods …

matching or information revealed by others' behaviours, or to endogenous effects generated by bargaining within marriage. A … in individual effects. As such the correlation in the raw smoking data is consistent with positive assortative matching …

This paper proposes sequential matching and inverse selection probability weighting to estimate dynamic causal effects …. The sequential matching estimators extend simple, matching estimators based on propensity scores for static causal … estimators perform well in small and medium size samples. Based on the application of the sequential matching estimators to an …

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

occurrence of selection bias. When using non-experimental data, different evaluation approaches can be thought of. The aim of …

We analyze the consequences of counseling provided to job seekers in a standard job search and matching model. It turns …

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