This paper examines the effects of a comprehensive performance pay program for teachers implemented in high-need schools on students' longer-run educational, criminal justice, and economic self-sufficiency outcomes. Using linked administrative data from a Southern state, we leverage the...

In most societies, a small number of people commit the most serious violence. Short-term studies have shown that cognitive behavioral therapy (CBT) can reduce such antisocial behaviors. These behavior changes may be temporary, however, especially from therapy on its own. This is unsettled,...

This paper studies the impact of adult prosecution on recidivism and employment trajectories for adolescent, first-time felony defendants. We use extensive linked Criminal Justice Admin- istrative Record System and socio-economic data from Wayne County, Michigan (Detroit). Using the discrete age...

Economics has long studied how consumers respond to the disclosure of information about firms. We study a case in which the disclosed information is unrelated to the product or firm leadership, but which could still potentially affect consumer patronage through the mechanism of repugnance, as...

We study the opposing deterrent and enabling effects of guns carried by law-abiding citizens on violent crime, using the location of shooting ranges as an instrument. Our incident-level data based on admittedly imperfect data from the Gun Violence Archive suggests that defensive gun use (DGU) by...

How does immigration enforcement affect public safety? Heightened enforcement could reduce crime by deterring and incapacitating immigrant offenders or, alternatively, increase crime by discouraging victims from reporting offenses. We study the U.S. Secure Communities program, which expanded...

School choice lotteries are an important tool for allocating access to high-quality and oversubscribed public schools. While prior evidence suggests that winning a school lottery decreases adult criminality, there is little evidence for how school choice lotteries impact non-lottery students who...

Low-income individuals arrested on criminal charges face disproportionately high rates of pretrial detention and conviction. We study a novel approach to addressing this inequity: providing low-income individuals with access to legal counsel immediately following their arrest. Focusing on a...

This paper shows that shootings are predictable enough to be preventable. Using arrest and victimization records for almost 644,000 people from the Chicago Police Department, we train a machine learning model to predict the risk of being shot in the next 18 months. We address central concerns...