Investigative Stops and Neighborhood Change: A Spillover Analysis of Chicago Police Beats

This research tests for a spillover effect in the association between discretionary police contact and neighborhood economic and racial change at the police beat level in Chicago, Illinois. Spatial Durbin lag and error models are fit for 269 police beats, using investigative stop report data from 2016 to 2019 and American Community Survey estimates for 2006-2010 to 2015-2019. Two outcomes are modeled, the logged investigative stop count and the contraband recovery rate among searches, on an economic change index, a racial turnover index, change in racial concentration, logged violent crime, and logged population, each entering directly and as a spatial lag. Economic change in a beat’s surroundings is negatively associated with its stop volume, a total impact of -0.314 with a standard error of 0.088, but that association does not survive adjustment for Chicago’s 22 police districts. Beat adjacency and district membership are not separable, since two thirds of a beat’s neighbors share its district. No prior spillover study has made that adjustment, which is this project’s principal contribution. For planning, this work examines how discretionary police contact and neighborhood change interact along police beat and district lines, boundaries usually understood as outside the profession’s remit.

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Publication Details

Journal
UNC Libraries
Published
2026-08-03
DOI
https://doi.org/10.17615/5gg6-sb15
Primary Topic
Policing Practices and Perceptions
Type
article
Field-Weighted Citation Impact
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article

Investigative Stops and Neighborhood Change: A Spillover Analysis of Chicago Police Beats

Devin T. Rooney
UNC Libraries
Policing Practices and Perceptions
article

Investigative Stops and Neighborhood Change: A Spillover Analysis of Chicago Police Beats

Devin T. Rooney
article en

Abstract

This research tests for a spillover effect in the association between discretionary police contact and neighborhood economic and racial change at the police beat level in Chicago, Illinois. Spatial Durbin lag and error models are fit for 269 police beats, using investigative stop report data from 2016 to 2019 and American Community Survey estimates for 2006-2010 to 2015-2019. Two outcomes are modeled, the logged investigative stop count and the contraband recovery rate among searches, on an economic change index, a racial turnover index, change in racial concentration, logged violent crime, and logged population, each entering directly and as a spatial lag. Economic change in a beat’s surroundings is negatively associated with its stop volume, a total impact of -0.314 with a standard error of 0.088, but that association does not survive adjustment for Chicago’s 22 police districts. Beat adjacency and district membership are not separable, since two thirds of a beat’s neighbors share its district. No prior spillover study has made that adjustment, which is this project’s principal contribution. For planning, this work examines how discretionary police contact and neighborhood change interact along police beat and district lines, boundaries usually understood as outside the profession’s remit.

UNC Libraries
University of North Carolina at Chapel Hill (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 3%
Policing Practices and Perceptions
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