JOURNAL ARTICLE
Do Police Maximize Arrests or Minimize Crime? Evidence from Racial Profiling in U.S. Cities.
Published In: Journal of the European Economic Association, 2023, v. 21, n. 1. P. 167 1 of 3
Database: Business Source Ultimate 2 of 3
Authored By: Stashko, Allison 3 of 3
Abstract
This article investigates whether discretionary police stop-and-search behavior in U.S. cities is better characterized by an objective of arrest maximization or crime minimization. Using theoretical models that incorporate endogenous police resources and statistical discrimination based on race and income, the study derives distinct empirical predictions for racial disparities in arrest rates and police spending under each objective. Analyzing data from the FBI’s Uniform Crime Reporting Program, the American Community Survey, and municipal budgets across over 1,300 cities, the findings consistently support the arrest maximization model and reject the crime minimization model. Robustness checks and placebo tests indicate that these results are unlikely driven by omitted variables, racial animus, political factors, or the racial composition of police forces. The study concludes that empirical tests of discrimination in police search should continue to rely on the assumption that officers maximize arrests rather than minimize crime.
Additional Information
- Source:Journal of the European Economic Association. 2023/02, Vol. 21, Issue 1, p167
- Document Type:Article
- Subject Area:Law
- Publication Date:2023
- ISSN:1542-4766
- DOI:10.1093/jeea/jvac039
- Accession Number:161830391
- Copyright Statement:Copyright of Journal of the European Economic Association is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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