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Police Shooting Statistics and Public Support for Police Reforms

Published online by Cambridge University Press:  15 September 2023

Kaylyn Jackson Schiff*
Affiliation:
Department of Political Science, Purdue University, West Lafayette, IN, USA
Tom S. Clark
Affiliation:
Department of Political Science, Emory University, Atlanta, GA, USA
Adam N. Glynn
Affiliation:
Departments of Political Science and Quantitative Theory and Methods, Emory University, Atlanta, GA, USA
Michael Leo Owens
Affiliation:
Department of Political Science, Emory University, Atlanta, GA, USA
Anna Gunderson
Affiliation:
Department of Political Science, Louisiana State University, Baton Rouge, LA, USA
Eric Dobbie
Affiliation:
Department of Political Science, Emory University, Atlanta, GA, USA
*
Corresponding author: Kaylyn Jackson Schiff; Email: schiffk@purdue.edu
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Abstract

Does providing information about police shootings influence policing reform preferences? We conducted an online survey experiment in 2021 among approximately 2,600 residents of 10 large US cities. It incorporated original data we collected on police shootings of civilians. After respondents estimated the number of police shootings in their cities in 2020, we randomized subjects into three treatment groups and a control group. Treatments included some form of factual information about the police shootings in respondents’ cities (e.g., the actual total number). Afterward, respondents were asked their opinions about five policing reform proposals. Police shooting statistics did not move policing reform preferences. Support for policing reforms is primarily associated with partisanship and ideology, coupled with race. Our findings illuminate key sources of policing reform preferences among the public and reveal potential limits of information-driven, numeric-based initiatives to influence policing in the US.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of American Political Science Association
Figure 0

Figure 1. Summary of experimental results.Note: All results with covariates available in SI Tables A2 to A10. Means of outcome variables by treatment also reported in SI Table A1.

Figure 1

Figure 2. Density plots of observed and simulated main effect estimates.

Figure 2

Figure 3. Partisanship, race, and reform support.Note: Full table of results with covariates available as SI Table A.17.

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Schiff Dataset

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