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How do police use race in traffic stops and searches? Tests based on observability of race

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  • Ritter, Joseph A.

Abstract

When a police officer decides whether to initiate a traffic stop, the driver's race is less likely to be known during darkness, but always observed after the stop takes place. If officers use information optimally, this flow of information about race leads to specific empirical predictions, which are tested using data on traffic stops in Minneapolis. The prediction about stops is supported, but those concerning searches are not. This pattern of results implies that police choices were inconsistent, which is evidence against both statistical discrimination and optimizing with a taste for discrimination. The results may reflect cognitive biases present in the time-sensitive decision to initiate a stop.

Suggested Citation

  • Ritter, Joseph A., 2017. "How do police use race in traffic stops and searches? Tests based on observability of race," Journal of Economic Behavior & Organization, Elsevier, vol. 135(C), pages 82-98.
    • Handle: RePEc:eee:jeborg:v:135:y:2017:i:c:p:82-98
    DOI: 10.1016/j.jebo.2017.02.005
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    References listed on IDEAS

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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. Kevin Lang, 1986. "A Language Theory of Discrimination," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 101(2), pages 363-382.
    3. Joseph Price & Justin Wolfers, 2010. "Racial Discrimination Among NBA Referees," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(4), pages 1859-1887.
    4. 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.
    5. Marianne Bertrand & Dolly Chugh & Sendhil Mullainathan, 2005. "Implicit Discrimination," American Economic Review, American Economic Association, vol. 95(2), pages 94-98, May.
    6. Jeff Dominitz, 2003. "How Do the Laws of Probability Constrain Legislative and Judicial Efforts to Stop Racial Profiling?," American Law and Economics Review, American Law and Economics Association, vol. 5(2), pages 412-432, August.
    7. Grogger, Jeffrey & Ridgeway, Greg, 2006. "Testing for Racial Profiling in Traffic Stops From Behind a Veil of Darkness," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 878-887, September.
    8. Samuel L. Myers, 2002. "Analysis of racial profiling as policy analysis," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 21(2), pages 287-300.
    9. 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.
    10. 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.
    11. Close Billy R & Mason Patrick L, 2006. "After the Traffic Stops: Officer Characteristics and Enforcement Actions," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 6(1), pages 1-43, December.
    12. William C. Horrace & Shawn M. Rohlin, 2016. "How Dark Is Dark? Bright Lights, Big City, Racial Profiling," The Review of Economics and Statistics, MIT Press, vol. 98(2), pages 226-232, May.
    13. Engel, Robin S. & Johnson, Richard, 2006. "Toward a better understanding of racial and ethnic disparities in search and seizure rates," Journal of Criminal Justice, Elsevier, vol. 34(6), pages 605-617.
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    Cited by:

    1. Jesse Kalinowski & Matthew Ross & Stephen L. Ross, 2019. "Addressing Seasonality in Veil of Darkness Tests for Discrimination: An Instrumental Variables Approach," Working Papers 2019-028, Human Capital and Economic Opportunity Working Group.
    2. Makofske, Matthew, 2020. "Pretextual Traffic Stops and Racial Disparities in their Use," MPRA Paper 100792, University Library of Munich, Germany.
    3. Jesse Kalinowski & Stephen L. Ross & Matthew B. Ross, 2017. "Endogenous Driving Behavior in Tests of Racial Profiling in Police Traffic Stops," Working Papers 2017-017, Human Capital and Economic Opportunity Working Group.

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    More about this item

    Keywords

    Racial bias; Traffic stop; Search; Discrimination; Police;
    All these keywords.

    JEL classification:

    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • 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

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