Thanks to extraordinary and exponential improvements in data storage and computing capacities, it is now possible to collect, manage, and analyze data in magnitudes and in manners that would have been inconceivable just a short time ago. As the world has developed this remarkable capacity to...

We use remarkable population-level administrative education and birth records from Florida to study the role of Long-Term Orientation on the educational attainment of immigrant students living in the US. Controlling for the quality of schools and individual characteristics, students from...

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...

Using a rich dataset that merges student-level school records with birth records, and leveraging three alternative identification strategies, we explore how increase in access to charter schools in twelve districts in Florida affects students remaining in traditional public schools (TPS). We...

Public policies often target individuals but within-family externalities of such interventions are understudied. Using a regression discontinuity design, we document how a third grade retention policy affects both the target children and their younger siblings. The policy improves test scores of...

We use unique data from journal submissions to identify and unpack publication bias and p-hacking. We find that initial submissions display significant bunching, suggesting the distribution among published statistics cannot be fully attributed to a publication bias in peer review. Desk-rejected...

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...

We study the effect of exposure to immigrants on the educational outcomes of US-born students, using a unique dataset combining population-level birth and school records from Florida. This research question is complicated by substantial school selection of US-born students, especially among...

Using a rich dataset that merges student-level school records with birth records, and leveraging a student fixed effects design, we explore how the massive scale-up of a Florida private school choice program affected public school students' outcomes. Program expansion modestly benefited students...