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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. Copyright 2007 Blackwell Publishing, Inc..

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Bibliographic Info

Article provided by Association for Public Economic Theory in its journal Journal of Public Economic Theory.

Volume (Year): 9 (2007)
Issue (Month): 3 (06)
Pages: 521-545

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Handle: RePEc:bla:jpbect:v:9:y:2007:i:3:p:521-545

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References

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  1. 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, 08.
  2. 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 345-66, October.
  3. Cornell, Bradford & Welch, Ivo, 1996. "Culture, Information, and Screening Discrimination," Journal of Political Economy, University of Chicago Press, vol. 104(3), pages 542-71, June.
  4. 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.
  5. 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 340-47, June.
  6. Coate, Stephen & Loury, Glenn C, 1993. "Will Affirmative-Action Policies Eliminate Negative Stereotypes?," American Economic Review, American Economic Association, vol. 83(5), pages 1220-40, December.
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Cited by:
  1. Shamena Anwar & Hanming Fang, 2004. "An Alternative Test of Racial Prejudice in Motor Vehicle Searches: Theory and Evidence," Cowles Foundation Discussion Papers 1464, Cowles Foundation for Research in Economics, Yale University.
  2. 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.
  3. Sergio Parra Cely, 2011. "Group Profiling for Alcohol Impaired Motorists with Driving Skills Disparities: Should we Care for Fairness?," VNIVERSITAS ECONÓMICA 010089, UNIVERSIDAD JAVERIANA - BOGOTÁ.
  4. Curry, Philip A. & Klumpp, Tilman, 2009. "Crime, punishment, and prejudice," Journal of Public Economics, Elsevier, vol. 93(1-2), pages 73-84, February.
  5. Mason, Patrick L., 2007. "Driving while black: do police pass the test?," MPRA Paper 11328, University Library of Munich, Germany.
  6. 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.

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