We study the correlation between parental gender attitudes and the performance in mathematics of girls using two different approaches and data. First, we identify families with a preference for boys by using fertility stopping rules in a population of households whose children attend public...

This paper studies the effects of university STEM education on innovation and labor market outcomes by exploiting a change in enrollment requirements in Italian STEM majors. University-level scientific education had two direct effects on the development of patents by students who had acquired a...

Prior research has shown that immigrants make important contributions to US innovation and are more likely than natives to become entrepreneurs. However, there is little evidence on how foreign and native high-skilled workers differ prior to entering the workforce. Moreover, little attention has...

This paper examines the dynamics of the gender gap in high math achievement over the high school years using data from the American Mathematics Competition. A clear gender gap is already present by 9th grade and the gender gap widens over the high school years. High-achieving students must...

This paper assesses whether delays in obtaining permanent residency status can explain recent declines in the share of Chinese and Indian PhD graduates from US STEM programs who remain in the US after their studies. We find that newly-binding limits on permanent visas for those from China and...

This paper experimentally investigates the effect of gender-based affirmative action (AA) on performance in the lab, focusing on a tournament environment. The tournament is based on GRE math questions commonly used in graduate school admission, and at which women are known to perform worse on...

Previous research has shown that norms around the role of women in society could help explain the gender gap in mathematics, and that these norms could be transmitted within the family. Using data from the Florida Department of Education combined with birth certificates we uncover important...

In conventional stochastic simulation algorithms, Monte Carlo integration and curve fitting are merged together and implemented by means of regression. We perform a decomposition of the solution error and show that regression does a good job in curve fitting but a poor job in integration, which...

School districts often struggle to recruit and retain effective math teachers. Alternative-route certification programs aim to expand the pool of teachers available; however, many alternate routes have not been able to attract large numbers of teacher candidates with undergraduate degrees in...

Experimental economics represents a strong growth industry. In the past several decades the method has expanded beyond intellectual curiosity, now meriting consideration alongside the other more traditional empirical approaches used in economics. Accompanying this growth is an influx of new...