Centenial Celebration

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Date: November 22, 2024 Fri

Time: 12:07 pm

Results for police staffing levels

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Author: Chalfin, Aaron

Title: Are U.S. Cities Under-policed?: Theory and Evidence

Summary: The socially optimal number of police hinges on the extent to which police reduce the most costly crimes, which are also the most difficult to model econometrically because they are rare. In the hope of minimizing simultaneity bias, papers in the recent literature have focused on quasi-experimental approaches that disregard most of the variation in police staffing levels, compounding the modeling difficulty. We argue that the central empirical challenge in this literature is not simultaneity bias, as has been supposed, but measurement error bias. Using a new panel data set on crime in medium to large U.S. cities over 1960-2010, we obtain measurement error corrected estimates of the police elasticity, with much greater parameter certainty for the most costly crimes. Our analysis suggests that U.S. cities are in fact underpoliced.

Details: Unpublished paper, 2013. 54p.

Source: Internet Resource: Accessed May 14, 2015 at: http://eml.berkeley.edu/~jmccrary/chalfin_mccrary2013.pdf

Year: 2013

Country: United States

URL: http://eml.berkeley.edu/~jmccrary/chalfin_mccrary2013.pdf

Shelf Number: 135639

Keywords:
Police Effectiveness
Police Resource Allocation
Police Staffing Levels
Policing