Using dissertation research topics found in the EconLit database and large-scale algorithmic methods that identify author demographics based on names, we explore the link between race and ethnicity and fields of economic research. We find that underrepresented racial and ethnic minority (URM)...

Using the EconLit dissertation database and large-scale algorithmic methods that identify author demographics from names, we investigate the connection between the gender of economics dissertators and dissertation topics. Despite stagnation in the share of women among economics Ph.D.s in recent...

Non-financial barriers to college are an important possible explanation for socioeconomic, racial, gender, and other gaps in college access and success. A sizeable economic literature documents policy efforts to understand and address these barriers. We review this literature on non-financial...

Policy makers periodically consider using student assignment policies to improve educational outcomes by altering the socio-economic and academic skill composition of schools. We exploit the quasi-random reassignment of students across schools in the Wake County Public School System to estimate...

Transitional Kindergarten (TK) is a relatively recent entrant into the U.S. early education landscape, combining features of public pre-K and regular kindergarten. We provide the first estimates of the impact of Michigan's TK program on 3rd grade test scores. Using an augmented regression...

We study the Tutoring Online Program (TOP), where: (i) tutoring is entirely online; (ii) tutors are volunteer university students, matched with underprivileged middle school students. We leverage random assignment to estimate effects during and after the pandemic (2020 and 2022), investigating...

High-dosage tutoring is an effective way to improve student learning (Nickow et al., 2024; Guryan et al., 2023). Finding ways to deliver high-dosage tutoring at large scale remains a challenge. Two primary challenges to scaling are cost and staffing. One possible solution is to reduce costs by...

We use an admissions lottery to estimate the effect of a non-means tested preschool program on students' long-run earnings, employment, family income, household formation, and geographic mobility. We observe long-run outcomes by linking both admitted and non-admitted individuals to confidential...

Lottery-based identification strategies offer potential for generating the next generation of evidence on U.S. early education programs. Our collaborative network of five research teams applying this design in early education and methods experts has identified six challenges that need to be...

Federal incentives and requirements under the Obama administration spurred states to adopt major reforms to their teacher evaluation systems. We examine the effects of these reforms on student achievement and attainment at a national scale by exploiting the staggered timing of implementation...