Administrative Records Mask Racially Biased Policing

73 Pages Posted: 15 Apr 2019 Last revised: 18 May 2020

See all articles by Dean Knox

Dean Knox

Princeton University

Will Lowe

Princeton University - Department of Political Science

Jonathan Mummolo

Princeton University

Date Written: December 21, 2019

Abstract

Researchers often lack the necessary data to credibly estimate racial discrimination in policing. In particular, police administrative records lack information on civilians that police observe but do not investigate. In this paper, we show that if police racially discriminate when choosing whom to investigate, analyses using administrative records to estimate racial discrimination in police behavior are statistically biased, rendering many quantities of interest unidentified---even among investigated individuals---absent strong and untestable assumptions. Using principal stratification in a causal mediation framework, we derive the exact form of the statistical bias that results from traditional estimation. We develop a bias-correction procedure and nonparametric sharp bounds for race effects, replicate published findings, and show the traditional estimator can severely underestimate levels of racially biased policing or mask discrimination entirely. We conclude by outlining a general and feasible design for future studies that is robust to this inferential snare.

Keywords: racial bias, policing, use of force, causal inference

Suggested Citation

Knox, Dean and Lowe, Will and Mummolo, Jonathan, Administrative Records Mask Racially Biased Policing (December 21, 2019). Available at SSRN: https://ssrn.com/abstract=3336338 or http://dx.doi.org/10.2139/ssrn.3336338

Dean Knox

Princeton University ( email )

001 Fisher Hall
Princeton, NJ 08544
United States

Will Lowe

Princeton University - Department of Political Science

Fisher Hall
Princeton, NJ 08544-1012
United States

Jonathan Mummolo (Contact Author)

Princeton University ( email )

22 Chambers Street
Princeton, NJ 08544-0708
United States

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