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Racial Profiling Or Racist Policing? Bounds Tests In Aggregate Data

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  • Rubén Hernández-Murillo
  • John Knowles

Abstract

State-wide reports on police traffic stops and searches summarize very large populations, making them potentially powerful tools for identifying racial bias, particularly when statistics on search outcomes are included. But when the reported statistics conflate searches involving different levels of police discretion, standard tests for racial bias are not applicable. This article develops a model of police search decisions that allows for nondiscretionary searches and derives tests for racial bias in data that mix different search types. Our tests reject unbiased policing as an explanation of the disparate impact of motor-vehicle searches on minorities in Missouri. Copyright 2004 by the Economics Department Of The University Of Pennsylvania And Osaka University Institute Of Social And Economic Research Association.

Suggested Citation

  • Rubén Hernández-Murillo & John Knowles, 2004. "Racial Profiling Or Racist Policing? Bounds Tests In Aggregate Data," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 45(3), pages 959-989, August.
    • Handle: RePEc:ier:iecrev:v:45:y:2004:i:3:p:959-989
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    Cited by:

    1. Trevor G. Gardner, 2014. "Racial Profiling as Collective Definition," Social Inclusion, Cogitatio Press, vol. 2(3), pages 052-059.
    2. Marco Cozzi, 2010. "Accounting For The Racial Property Crime Gap In The Us: A Quantitative Equilibrium Analysis," Working Paper 1233, Economics Department, Queen's University.
    3. Bunzel, Helle & Marcoul, Philippe, 2008. "Can racially unbiased police perpetuate long-run discrimination?," Journal of Economic Behavior & Organization, Elsevier, vol. 68(1), pages 36-47, October.
    4. Ritter, Joseph A., 2017. "How do police use race in traffic stops and searches? Tests based on observability of race," Miscellaneous Publications 253354, University of Minnesota, Department of Applied Economics.
    5. Brian Williams & Michael Stahl, 2008. "An analysis of police traffic stops and searches in Kentucky: a mixed methods approach offering heuristic and practical implications," Policy Sciences, Springer;Society of Policy Sciences, vol. 41(3), pages 221-243, September.
    6. Kate Antonovics & Brian G. Knight, 2009. "A New Look at Racial Profiling: Evidence from the Boston Police Department," The Review of Economics and Statistics, MIT Press, vol. 91(1), pages 163-177, February.
    7. Nicola Persico & Petra E. Todd, 2005. "Passenger Profiling, Imperfect Screening, and Airport Security," American Economic Review, American Economic Association, vol. 95(2), pages 127-131, May.
    8. Georgiou, Georgios, 2022. "Do correctional authorities treat all offenders equally? Evaluating the use of a risk assessment instrument," International Review of Law and Economics, Elsevier, vol. 69(C).
    9. Thomas A. Garrett & Gary A. Wagner, 2009. "Red Ink in the Rearview Mirror: Local Fiscal Conditions and the Issuance of Traffic Tickets," Journal of Law and Economics, University of Chicago Press, vol. 52(1), pages 71-90, February.
    10. Sarath Sanga, 2009. "Reconsidering Racial Bias in Motor Vehicle Searches: Theory and Evidence," Journal of Political Economy, University of Chicago Press, vol. 117(6), pages 1155-1159, December.
    11. Ritter, Joseph A., 2017. "How do police use race in traffic stops and searches? Tests based on observability of race," Journal of Economic Behavior & Organization, Elsevier, vol. 135(C), pages 82-98.
    12. David Bjerk, 2007. "Racial Profiling, Statistical Discrimination, and the Effect of a Colorblind Policy on the Crime Rate," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 9(3), pages 521-545, June.
    13. Yu-Wei Luke Chu, 2015. "Do Medical Marijuana Laws Increase Hard-Drug Use?," Journal of Law and Economics, University of Chicago Press, vol. 58(2), pages 481-517.
    14. Antonio Merlo, 2004. "Introduction To Economic Models Of Crime," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 45(3), pages 677-679, August.
    15. Alexander Lundberg, 2022. "Statistical Power and Search Intensity Bias in Hit Rates Tests of Discrimination," Journal of Quantitative Criminology, Springer, vol. 38(4), pages 979-1002, December.
    16. Brady P. Horn & Jill J. Mccluskey & Ron C. Mittelhammer, 2014. "Quantifying Bias In Driving-Under-The-Influence Enforcement," Economic Inquiry, Western Economic Association International, vol. 52(1), pages 269-284, January.
    17. Trevor G. Gardner, 2014. "Racial Profiling as Collective Definition," Social Inclusion, Cogitatio Press, vol. 2(3), pages 052-059.
    18. Shamena Anwar & Hanming Fang, 2006. "An Alternative Test of Racial Prejudice in Motor Vehicle Searches: Theory and Evidence," American Economic Review, American Economic Association, vol. 96(1), pages 127-151, March.
    19. Paul Heaton, 2010. "Understanding the Effects of Antiprofiling Policies," Journal of Law and Economics, University of Chicago Press, vol. 53(1), pages 29-64, February.
    20. Christopher Cotton & Cheng Li, 2015. "Profiling, Screening, and Criminal Recruitment," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 17(6), pages 964-985, December.

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