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Using Hit Rates to Test for Racial Bias in Law Enforcement: Vehicle Searches in Wichita

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  • Nicola Persico

    ()
    (Department of Economics, University of Pennsylvania)

  • Petra Todd

    ()
    (Department of Economics, University of Pennsylvania)

Abstract

This paper considers the use of outcomes-based tests for detecting racial bias in the context of police searches of motor vehicles. It shows that the test proposed in Knowles, Persico and Todd (2001) can also be applied in a more general environment where police officers are heterogenous in their tastes for discrimination and in their costs of search and motorists are heterogeneous in their benefits and costs from criminal behavior. We characterize the police and motorist decision problems in a game theoretic framework and establish properties of the equilibrium. We also extend of the model to the case where drivers’ characteristics are mutable in the sense that drivers can adapt some of their characteristics to reduce the probability of being monitored. After developing the theory that justifies the application of outcomes-based tests, we apply the tests to data on police searches of motor vehicles gathered by the Wichita Police department. The empirical findings are consistent with the notion that police in Wichita choose their search strategies to maximize successful searches, and not out of racial bias.

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File URL: http://economics.sas.upenn.edu/system/files/working-papers/05-004.pdf
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Bibliographic Info

Paper provided by Penn Institute for Economic Research, Department of Economics, University of Pennsylvania in its series PIER Working Paper Archive with number 05-004.

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Length: 32 pages
Date of creation: 12 Jan 2005
Date of revision:
Handle: RePEc:pen:papers:05-004

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Keywords: Racial Profiling; Crime; Police; Wichita;

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References

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  1. Dhammika Dharmapala & Stephen L. Ross, 2003. "Racial Bias in Motor Vehicle Searches: Additional Theory and Evidence," Working papers, University of Connecticut, Department of Economics 2003-12, University of Connecticut, Department of Economics, revised Dec 2003.
  2. Shamena Anwar & Hanming Fang, 2004. "An Alternative Test of Racial Prejudice in Motor Vehicle Searches: Theory and Evidence," Cowles Foundation Discussion Papers, Cowles Foundation for Research in Economics, Yale University 1464, Cowles Foundation for Research in Economics, Yale University.
  3. Charles F. Manski, 2006. "Search Profiling With Partial Knowledge of Deterrence," Economic Journal, Royal Economic Society, Royal Economic Society, vol. 116(515), pages F385-F401, November.
  4. John Knowles & Nicola Persico & Petra Todd, 1999. "Racial Bias in Motor Vehicle Searches: Theory and Evidence," NBER Working Papers 7449, National Bureau of Economic Research, Inc.
  5. Kate L. Antonovics & Brian G. Knight, 2004. "A New Look at Racial Profiling: Evidence from the Boston Police Department," NBER Working Papers 10634, National Bureau of Economic Research, Inc.
  6. Nicola Persico, 2002. "Racial Profiling, Fairness, and Effectiveness of Policing," American Economic Review, American Economic Association, American Economic Association, vol. 92(5), pages 1472-1497, December.
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Citations

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Cited by:
  1. Charles F. Manski, 2005. "Search Profiling with Partial Knowledge of Deterrence," NBER Working Papers 11848, National Bureau of Economic Research, Inc.
  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, American Economic Association, vol. 96(1), pages 127-151, March.
  3. Mason, Patrick L., 2007. "Driving while black: do police pass the test?," MPRA Paper 11328, University Library of Munich, Germany.

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