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,...

We analyze the impact on crime of 3.7 million refugees who entered and stayed in Turkey as a result of the civil war in Syria. Using a novel administrative data source on the flow of offense records to prosecutors' offices in 81 provinces of the country each year, and utilizing the staggered...

This chapter examines the impact of COVID-19 shutdowns on domestic violence (DV) in the United States. Despite widespread concerns that pandemic shutdowns could increase DV, initial studies found mixed evidence that varied across data sources and locations. We review the evolving literature on...

We develop new quasi-experimental tools to understand algorithmic discrimination and build non-discriminatory algorithms when the outcome of interest is only selectively observed. These tools are applied in the context of pretrial bail decisions, where conventional algorithmic predictions are...

Although research has shown that court-ordered hiring quotas increase the number of minority police officers in litigated cities, there has been little insight into how workforce diversity, or lack thereof, may impact police violence against civilians. Using an event study framework, we find...

Evidence on cannabis legalization's effects on mental health remains scarce, despite both rapid increases in cannabis use and an ongoing mental health crisis in the United States. We use granular geographic data to estimate medical cannabis dispensary availability's effects on self-reported...

We study fraud in the unemployment insurance (UI) system using a dataset of 35 million debit card transactions. We apply machine learning techniques to cluster cards corresponding to varying levels of suspicious or potentially fraudulent activity. We then conduct a difference-in-differences...

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...

The US spends more than 4 trillion dollars per year on health care, largely conducted by private providers and reimbursed by insurers. A major concern in this system is overbilling, waste and fraud by providers, who face incentives to misreport on their claims in order to receive higher...

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...