A common argument for quota policies is that they can increase the participation of targeted groups in positions that are not directly subjected to quotas or after quotas are no longer in place. I investigate this hypothesis empirically in the context of India, where one third of local political...

University students have been particularly affected by the COVID-19 pandemic. We present results from the first wave of the Global COVID-19 Student Survey, which was administered at 28 universities in the United States, Spain, Australia, Sweden, Austria, Italy, and Mexico between April and...

This paper establishes the presence of a substantial gender gap in the relationship between state legislature service and the subsequent pursuit of a Congressional career. The empirical approach uses a sample of mixed-gender elections to compare the differential political career progression of...

Gender gaps in leadership roles may be reduced by increasing the number of women in career stages that typically precede high-status positions. This can occur by increasing the supply of experienced women, inspiring new female candidates for these positions, and/or changing beliefs about women...

Policies that increase women's representation often intend to provide women with influence over processes and decisions of the organization in which they are implemented. This paper studies the effect of gender composition and leadership on women's influence in two field experiments. Our first...

Theory predicts that mandated employment protections may reduce productivity by distorting production choices. Firms facing (non-Coasean) worker dismissal costs will curtail hiring below efficient levels and retain unproductive workers, both of which should affect productivity. These theoretical...

The global distribution of talent is highly skewed and the resources available to countries to develop and utilize their best and brightest vary substantially. The migration of skilled workers across countries tilts the deck even further. Using newly available data, we first review the landscape...