We investigate international migration choices of high-skilled individuals and measure migrant selection using predicted earnings. High-skilled migrants select to destinations as predicted by Borjas' (1987) model of migration choices. Migrants to less equal countries are positively selected,...

Although many U.S. state policies presume that human capital is important for state economic development, there is little research linking better education to state incomes. In a complement to international studies of income differences, we investigate the extent to which quality-adjusted...

Although many U.S. state policies presume that human capital is important for state economic development, there is little research linking better education to state incomes. In a complement to international studies of income differences, we investigate the extent to which quality-adjusted...

We measure selection of high-skilled migrants from Germany using predicted earnings. Migrants to less equal countries are positively selected relative to non-migrants, while migrants to more equal countries are negatively selected, consistent with the prediction in Borjas (1987). Positive...

We propose a regression-adjusted matched difference-in-differences framework to estimate non-pecuniary returns to adult education. This approach combines kernel matching with entropy balancing to account for selection bias and sorting on gains. Using data from the German SOEP, we evaluate the...

We propose a regression-adjusted matched difference-in-differences framework to estimate non-pecuniary returns to adult education. This approach combines kernel matching with entropy balancing to account for selection bias and sorting on gains. Using data from the German SOEP, we evaluate the...

We study the labor market outcomes of a deregulation reform in Germany that removed licensing requirements to become self-employed in some occupations. Using longitudinal social security data, we implement a matched difference-in-differences design with entropy balancing to account for...

We propose a regression-adjusted matched difference-in-differences framework to estimate non-pecuniary returns to adult education. This approach combines kernel matching with entropy balancing to account for selection bias and sorting on gains. Using data from the German SOEP, we evaluate the...

We study the labor market outcomes of a deregulation reform in Germany that removed licensing requirements to become self-employed in some occupations. Using longitudinal social security data, we implement a matched difference-in-differences design with entropy balancing to account for...