Highlighted Publications




 

Abrams and Goonetilleke (2026) examined how stop-and-frisk practices vary across major U.S. cities and whether crime, poverty, demographics, or police resources explain those differences. They analyzed more than eight million pedestrian and vehicle stops recorded in 16 cities from 2019 through 2023. They found that stop and frisk rates differed by nearly two orders of magnitude across cities. Contraband discovery rates also varied substantially, ranging from 18% to 74% for pe

Dillon et al. (2026) examined whether providing knowledge workers with an integrated generative AI tool changed how they spent their time and completed their work. They analyzed telemetry data from a randomized field experiment involving 7,137 employees across 66 large firms who were assigned either access to Microsoft 365 Copilot or a control group over six months. They found that workers who regularly used Copilot spent about two fewer hours per week on email (a 17% reducti

Carrell et al. (2026) examined whether a simple information nudge encouraging recent high school graduates to enroll in summer community college courses increases summer enrollment. They analyzed data from a randomized field experiment involving 8,222 California high school seniors who had applied for financial aid and planned to attend college, linking survey responses with administrative college enrollment records. They found that students who received the informational mes

Monte, Porcher, and Rossi-Hansberg (2025) asked whether the COVID-19 pandemic permanently changed city structure by shifting workers toward remote work and whether those changes differed across cities. They analyzed a dynamic urban economic model together with U.S. cell phone mobility data from SafeGraph, housing price data from Zillow, Census and American Community Survey data, and National Longitudinal Survey of Youth data. They found that many large cities stabilized at ab