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Predicting and Preventing Gun Violence : An Experimental Evaluation of READI Chicago

Bhatt, Monica P.; Heller, Sara B.; Kapustin, Max; … - National Bureau of Economic Research - 2023

Gun violence is the most pressing public safety problem in American cities. We report results from a randomized … referral methods identified men with strikingly high scope for gun violence reduction: for every 100 people in the control … in an index combining three measures of serious violence, the study's primary outcome. But one component, shooting and …

Persistent link: https://www.econbiz.de/10013537746

Police Officer Assignment and Neighborhood Crime

Ba, Bocar A.; Bayer, Patrick J.; Rim, Nayoung; Rivera, Roman - National Bureau of Economic Research - 2021

We develop an empirical model of the mechanism used to assign police officers to Chicago districts and examine the efficiency and equity of alternative allocations. We document that the current bidding process, which grants priority based on seniority, results in the assignment of more...

Persistent link: https://www.econbiz.de/10012629463

Heterogeneous Impacts of Sentencing Decisions

Jordan, Andrew; Karger, Ezra; Neal, Derek A. - National Bureau of Economic Research - 2023

We examine 70,581 felony court cases filed in Chicago, IL, from 1990-2007. We exploit case randomization to assess the impact of judge assignment and sentencing decisions on the arrival of new charges. We find that, in marginal cases, incarceration creates large and lasting reductions in...

Persistent link: https://www.econbiz.de/10014447260

Machine Learning Can Predict Shooting Victimization Well Enough to Help Prevent It

Heller, Sara B.; Jakubowski, Benjamin; Jelveh, Zubin; … - National Bureau of Economic Research - 2022

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...

Persistent link: https://www.econbiz.de/10013334389