Gentrification and Racial Distrust in Communities: Evidence from 911 Calls

Author:

Ananthakrishnan Uttara M.1ORCID,Hasan Sharique2ORCID,Kumar Anuj3ORCID

Affiliation:

1. Heinz College of Information Systems and Public Policy, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213;

2. Duke University, Fuqua School of Business, Durham, North Carolina 27708;

3. University of Florida, Warrington College of Business, Gainesville, Florida 32611

Abstract

The prevalence of racial bias in policing has long concerned social scientists and policymakers. This article studies a predecessor mechanism that constitutes an important source of policing bias in American society: calls by individuals to the police to investigate “suspicious” behaviors, often involving neighbors. We construct a novel data set of more than 39 million 911 calls across 14 U.S. cities from 2011 to 2020. These data, obtained through the digitization initiatives of local governments, provide us with a unique opportunity to study neighborhood-level trust and social cohesion and demonstrate how changes to a neighborhood’s composition lead to systematic increases in the prevalence of “unfounded” suspicion calls to the police. Across a range of specifications, the proportion of unfounded suspicion calls increases as more non-Black residents move into neighborhoods with historically high levels of Black residents. This relationship is exacerbated in gentrifying neighborhoods and those with public spaces that enable more contact between community members. However, we also find some evidence that Black leadership and public support of Black citizens in communities mitigate the association between non-Black residents and the proportion of unfounded 911 calls. We discuss our results and implications for future research and policy. This paper was accepted by Anindya Ghose, information systems. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2022.00362 .

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

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