This paper addresses the selection of smoothing parameters for estimating the average treatment effect on the treated using matching methods. Because precise estimation of the expected counterfactual is particularly important in regions containing the mass of the treated units, we define and...

This paper addresses the selection of smoothing parameters for estimating the average treatment effect on the treated using matching methods. Because precise estimation of the expected counterfactual is particularly important in regions containing the mass of the treated units, we define and...

In this paper, we exploit new data to assess gender differences in pre-labor market specialization among the college educated and highlight how those differences have evolved over time. We highlight new results pertaining to gender differences in the mapping between undergraduate major and...

In this paper, we exploit new data to assess gender differences in pre-labor market specialization among the college educated and highlight how those differences have evolved over time. We highlight new results pertaining to gender differences in the mapping between undergraduate major and...

In this paper, we exploit new data to assess gender differences in pre-labor market specialization among the college educated and highlight how those differences have evolved over time. We highlight new results pertaining to gender differences in the mapping between undergraduate major and...

This paper addresses the selection of smoothing parameters for estimating the average treatment effect on the treated using matching methods. Because precise estimation of the expected counterfactual is particularly important in regions containing the mass of the treated units, we define and...

We study the job training provided under the US Workforce Investment Act (WIA) to adults and dislocated workers in two states. Our substantive contributions center on impacts estimated non-experimentally using administrative data. These impacts compare WIA participants who do and do not receive...