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Racial Profiling, Statistical Discrimination, and the Effect of a Colorblind Policy on the Crime Rate

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  • DAVID BJERK

Abstract

This paper develops a model of racial profiling by law enforcement officers when officers observe both an individual's race as well as a noisy signal of his or her guilt that depends on whether or not a crime has been committed. The model shows that given officers observe such a guilt signal, data regarding the guilt rate among those investigated from each race will not be sufficient for determining whether racially unequal investigation rates are due to statistical discrimination or racial bias on the part of officers. The model also reveals that when racially unequal investigation rates are due to statistical discrimination, imposing a colorblind policy on officers can increase, decrease, or have little effect on the crime rate, depending on specific characteristics of the jurisdiction and the crime in question.

Suggested Citation

  • 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.
  • Handle: RePEc:bla:jpbect:v:9:y:2007:i:3:p:521-545
    DOI: 10.1111/j.1467-9779.2007.00318.x
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    1. 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.
    2. 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.
    3. Kenneth Arrow, 1971. "The Theory of Discrimination," Working Papers 403, Princeton University, Department of Economics, Industrial Relations Section..
    4. Lundberg, Shelly J & Startz, Richard, 1983. "Private Discrimination and Social Intervention in Competitive Labor Markets," American Economic Review, American Economic Association, vol. 73(3), pages 340-347, June.
    5. Coate, Stephen & Loury, Glenn C, 1993. "Will Affirmative-Action Policies Eliminate Negative Stereotypes?," American Economic Review, American Economic Association, vol. 83(5), pages 1220-1240, December.
    6. John Knowles & Nicola Persico & Petra Todd, 2001. "Racial Bias in Motor Vehicle Searches: Theory and Evidence," Journal of Political Economy, University of Chicago Press, vol. 109(1), pages 203-232, February.
    7. Stephen L. Ross & John Yinger, 2002. "The Color of Credit: Mortgage Discrimination, Research Methodology, and Fair-Lending Enforcement," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262182289, December.
    8. Cornell, Bradford & Welch, Ivo, 1996. "Culture, Information, and Screening Discrimination," Journal of Political Economy, University of Chicago Press, vol. 104(3), pages 542-571, June.
    9. Farmer, Amy & Terrell, Dek, 2001. "Crime versus Justice: Is There a Trade-Off?," Journal of Law and Economics, University of Chicago Press, vol. 44(2), pages 345-366, October.
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    Cited by:

    1. Mason, Patrick L., 2007. "Driving while black: do police pass the test?," MPRA Paper 11328, University Library of Munich, Germany.
    2. 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.
    3. Arturas Rozenas, 2020. "A Theory of Demographically Targeted Repression," Journal of Conflict Resolution, Peace Science Society (International), vol. 64(7-8), pages 1254-1278, August.
    4. 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.
    5. Curry, Philip A. & Klumpp, Tilman, 2009. "Crime, punishment, and prejudice," Journal of Public Economics, Elsevier, vol. 93(1-2), pages 73-84, February.
    6. Brendan O'Flaherty & Rajiv Sethi & Morgan Williams, 2024. "The nature, detection, and avoidance of harmful discrimination in criminal justice," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 43(1), pages 289-320, January.
    7. Benjamin Feigenberg & Conrad Miller, 2020. "Racial Disparities in Motor Vehicle Searches Cannot Be Justified by Efficiency," NBER Working Papers 27761, National Bureau of Economic Research, Inc.
    8. Cheng Li & Christopher Cotton, 2023. "Profiling restrictions in a model of law enforcement and strategic crime," European Journal of Law and Economics, Springer, vol. 55(3), pages 511-532, June.
    9. Tim Friehe & Murat C. Mungan, 2021. "The political economy of enforcer liability for wrongful police stops," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 23(1), pages 141-157, February.
    10. Brock, William A. & Cooley, Jane & Durlauf, Steven N. & Navarro, Salvador, 2012. "On the observational implications of taste-based discrimination in racial profiling," Journal of Econometrics, Elsevier, vol. 166(1), pages 66-78.
    11. Sergio Parra Cely, 2011. "Group Profiling for Alcohol Impaired Motorists with Driving Skills Disparities: Should we Care for Fairness?," Vniversitas Económica 10089, Universidad Javeriana - Bogotá.
    12. O’Flaherty, Brendan & Sethi, Rajiv, 2015. "Urban Crime," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 1519-1621, Elsevier.

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    More about this item

    JEL classification:

    • K14 - Law and Economics - - Basic Areas of Law - - - Criminal Law
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing

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