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Can racially unbiased police perpetuate long-run discrimination?

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  • Bunzel, Helle
  • Marcoul, Philippe

Abstract

We develop a stylized dynamic model of highway policing in which a non-racist police officer is given incentives to arrest criminals, but faces a per stop cost of stop which increases when the racial mix of the persons he stops di.ers from the racial mix of the population.We define the fair jail rate to be when the racial composition of the jail population is identical to the racial composition of the criminal population.We study the long-term racial composition of the jail population when the policeman decides whom to stop based only on his last period successes in arresting criminals.The study of this "imperfect recall" case shows, consistent with empirical findings, that the long term racial jail rate is always greater than the fair one and the gap increases when incentives are made more powerful.We then study this rate when policemen are provided with data concerning conviction rates for each race, similar to the data which is now being collected in many states.In this case, we find that although the long term rate is still greater than the fair rate, it is smaller than that obtained in the imperfect recall case.We discuss the desirability of such data collection and dissemination of information among police officers.
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Suggested Citation

  • 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.
  • Handle: RePEc:eee:jeborg:v:68:y:2008:i:1:p:36-47
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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, August.
    2. repec:bla:econom:v:62:y:1995:i:246:p:161-78 is not listed on IDEAS
    3. Moro, Andrea & Norman, Peter, 2004. "A general equilibrium model of statistical discrimination," Journal of Economic Theory, Elsevier, vol. 114(1), pages 1-30, January.
    4. Farmer, Amy & Terrell, Dek, 1996. "Discrimination, Bayesian Updating of Employer Beliefs and Human Capital Accumulation," Economic Inquiry, Western Economic Association International, vol. 34(2), pages 204-219, April.
    5. Roland Bénabou & Jean Tirole, 2005. "Self-Confidence and Personal Motivation," International Economic Association Series, in: Bina Agarwal & Alessandro Vercelli (ed.), Psychology, Rationality and Economic Behaviour, chapter 2, pages 19-57, Palgrave Macmillan.
    6. Thierry Verdier & Yves Zenou, 2004. "Racial Beliefs, Location, And The Causes 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 731-760, August.
    7. Luís Santos-Pinto & Joel Sobel, 2005. "A Model of Positive Self-Image in Subjective Assessments," American Economic Review, American Economic Association, vol. 95(5), pages 1386-1402, December.
    8. Eric Van den Steen, 2004. "Rational Overoptimism (and Other Biases)," American Economic Review, American Economic Association, vol. 94(4), pages 1141-1151, September.
    9. 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.
    10. Linda Babcock & George Loewenstein, 1997. "Explaining Bargaining Impasse: The Role of Self-Serving Biases," Journal of Economic Perspectives, American Economic Association, vol. 11(1), pages 109-126, Winter.
    11. 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.
    12. Becker, Gary S., 1971. "The Economics of Discrimination," University of Chicago Press Economics Books, University of Chicago Press, edition 2, number 9780226041162, April.
    13. Ján Zábojník, 2004. "A model of rational bias in self-assessments," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 23(2), pages 259-282, January.
    14. Bruno Biais & Denis Hilton & Karine Mazurier & Sébastien Pouget, 2005. "Judgemental Overconfidence, Self-Monitoring, and Trading Performance in an Experimental Financial Market," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(2), pages 287-312.
    15. Borooah, Vani K., 2001. "Racial bias in police stops and searches: an economic analysis," European Journal of Political Economy, Elsevier, vol. 17(1), pages 17-37, March.
    16. Markus Glaser & Martin Weber, 2007. "Overconfidence and trading volume," The Geneva Papers on Risk and Insurance Theory, Springer;International Association for the Study of Insurance Economics (The Geneva Association), vol. 32(1), pages 1-36, June.
    17. Brad M. Barber & Terrance Odean, 2001. "Boys will be Boys: Gender, Overconfidence, and Common Stock Investment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 261-292.
    18. Chakravarty, Shanti P., 2002. "Economic analysis of police stops and searches: a critique," European Journal of Political Economy, Elsevier, vol. 18(3), pages 597-605, September.
    19. Heath, Chip & Tversky, Amos, 1991. "Preference and Belief: Ambiguity and Competence in Choice under Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 4(1), pages 5-28, January.
    20. Matthew Rabin & Joel L. Schrag, 1999. "First Impressions Matter: A Model of Confirmatory Bias," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(1), pages 37-82.
    21. Nicola Persico, 2002. "Racial Profiling, Fairness, and Effectiveness of Policing," American Economic Review, American Economic Association, vol. 92(5), pages 1472-1497, December.
    22. Verdier, T. & Zenou, Y., 2001. "Racial beliefs, location and the causes of crime," Discussion Paper Series In Economics And Econometrics 0101, Economics Division, School of Social Sciences, University of Southampton.
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    Cited by:

    1. Daskalova, Vessela, 2018. "Discrimination, social identity, and coordination: An experiment," Games and Economic Behavior, Elsevier, vol. 107(C), pages 238-252.
    2. Nicola Persico & Petra Todd, 2004. "Using Hit Rate Tests to Test for Racial Bias in Law Enforcement: Vehicle Searches in Wichita," NBER Working Papers 10947, National Bureau of Economic Research, Inc.
    3. 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.
    4. Olugbenga Ajilore & Shane Shirey, 2017. "Do #AllLivesMatter? An Evaluation of Race and Excessive Use of Force by Police," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 45(2), pages 201-212, June.
    5. Nicola Persico & Petra Todd, 2005. "Using Hit Rates to Test for Racial Bias in Law Enforcement: Vehicle Searches in Wichita," PIER Working Paper Archive 05-004, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.

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