IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/10947.html
   My bibliography  Save this paper

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

Author

Listed:
  • Nicola Persico
  • Petra Todd

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 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 deparment. 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.

Suggested Citation

  • 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.
  • Handle: RePEc:nbr:nberwo:10947
    Note: LS LE
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w10947.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    3. SCHMEIDLER, David, 1973. "Equilibrium points of nonatomic games," LIDAM Reprints CORE 146, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    4. Dharmapala Dhammika & Ross Stephen L, 2004. "Racial Bias in Motor Vehicle Searches: Additional Theory and Evidence," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 3(1), pages 1-23, September.
    5. Charles F. Manski, 2006. "Search Profiling With Partial Knowledge of Deterrence," Economic Journal, Royal Economic Society, vol. 116(515), pages 385-401, November.
    6. Igal Milchtaich, 2000. "Generic Uniqueness of Equilibrium in Large Crowding Games," Mathematics of Operations Research, INFORMS, vol. 25(3), pages 349-364, August.
    7. 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.
    8. 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.
    9. Nicola Persico, 2002. "Racial Profiling, Fairness, and Effectiveness of Policing," American Economic Review, American Economic Association, vol. 92(5), pages 1472-1497, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. John J. Donohue III, 2005. "The Law and Economics of Antidiscrimination Law," NBER Working Papers 11631, National Bureau of Economic Research, Inc.
    2. Garrick Blalock & Jed DeVaro & Stephanie Leventhal & Daniel Simon, 2011. "Gender bias in power relationships: evidence from police traffic stops," Applied Economics, Taylor & Francis Journals, vol. 43(29), pages 4469-4485.
    3. 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.
    4. 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.
    5. Minzner Max & Anderson Christopher M., 2013. "Do Warrants Matter?," Review of Law & Economics, De Gruyter, vol. 9(2), pages 169-196, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Jeff Dominitz & John Knowles, 2006. "Crime minimisation and racial bias: what can we learn from police search data?," Economic Journal, Royal Economic Society, vol. 116(515), pages 368-384, November.
    3. 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.
    4. Dragan Ilić, 2013. "Marginally discriminated: the role of outcome tests in European jurisdiction," European Journal of Law and Economics, Springer, vol. 36(2), pages 271-294, October.
    5. Dragan Ilić, 2013. "Spatial and Temporal Aggregation in Racial Profiling," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 149(I), pages 27-56, March.
    6. Blumkin, Tomer & Margalioth, Yoram, 2008. "On terror, drugs and racial profiling," International Review of Law and Economics, Elsevier, vol. 28(3), pages 194-203, September.
    7. 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.
    8. 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.
    9. Ingrid Gould Ellen & Stephen L. Ross, 2018. "Race and the City," Working papers 2018-03, University of Connecticut, Department of Economics.
    10. Anbarci, Nejat & Lee, Jungmin, 2014. "Detecting racial bias in speed discounting: Evidence from speeding tickets in Boston," International Review of Law and Economics, Elsevier, vol. 38(C), pages 11-24.
    11. Mason, Patrick L., 2007. "Driving while black: do police pass the test?," MPRA Paper 11328, University Library of Munich, Germany.
    12. 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.
    13. Nicolás Grau & Damián Vergara, "undated". "A Simple Test for Prejudice in Decision Processes: The Prediction-Based Outcome Test," Working Papers wp493, University of Chile, Department of Economics.
    14. Decio Coviello & Nicola Persico, 2015. "An Economic Analysis of Black-White Disparities in the New York Police Department's Stop-and-Frisk Program," The Journal of Legal Studies, University of Chicago Press, vol. 44(2), pages 315-360.
    15. 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.
    16. 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).
    17. 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.
    18. 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.
    19. Mujcic, Redzo & Frijters, Paul, 2013. "Still Not Allowed on the Bus: It Matters If You're Black or White!," IZA Discussion Papers 7300, Institute of Labor Economics (IZA).
    20. Amitabh Chandra & Douglas O. Staiger, 2010. "Identifying Provider Prejudice in Healthcare," NBER Working Papers 16382, National Bureau of Economic Research, Inc.

    More about this item

    JEL classification:

    • J70 - Labor and Demographic Economics - - Labor Discrimination - - - General
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:10947. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.