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Endogenous Driving Behavior in Tests of Racial Profiling in Police Traffic Stops

Author

Listed:
  • Jesse Kalinowski

    (Quinnipiac University)

  • Stephen L. Ross

    (University of Connecticut)

  • Matthew B. Ross

    (Ohio State University)

Abstract

African-American motorists may adjust their driving in response to increased scrutiny by law enforcement. We develop a model of police stop and motorist driving behavior and demonstrate that this behavior biases conventional tests of discrimination. We empirically document that minority motorists are the only group less likely to have fatal motor vehicle accidents in daylight when race is more easily observed by police, especially within states with high rates of police shootings of African-Americans. Using data from Massachusetts and Tennessee, we also find that African-Americans are the only group of stopped motorists whose speed relative to the speed limit slows in daylight. Consistent with the model prediction, these shifts in the speed distribution are concentrated at higher percentiles of the distribution. A calibration of our model indicates substantial bias in conventional tests of discrimination that rely on changes in the odds that a stopped motorist is a minority.

Suggested Citation

  • 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.
  • Handle: RePEc:hka:wpaper:2017-017
    Note: MIP
    as

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    File URL: http://humcap.uchicago.edu/RePEc/hka/wpaper/Kalinowski_Ross_Ross_2017_driving-veil-darkness.pdf
    File Function: First version, February 2017
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    File URL: http://humcap.uchicago.edu/RePEc/hka/wpaper/Kalinowski_Ross_Ross_2017_driving-veil-darkness_v2.pdf
    File Function: Third version, March 31, 2020
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    File URL: http://humcap.uchicago.edu/RePEc/hka/wpaper/Kalinowski_Ross_Ross_2017_driving-veil-darkness_v3.pdf
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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. Jesse J. Kalinowski & Matthew B. Ross & Stephen L. Ross, 2019. "Now You See Me, Now You Don't: The Geography of Police Stops," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 143-147, May.
    3. Cho, Sungwoo & Gonçalves, Felipe & Weisburst, Emily, 2021. "Do Police Make Too Many Arrests? The Effect of Enforcement Pullbacks on Crime," IZA Discussion Papers 14907, Institute of Labor Economics (IZA).

    More about this item

    Keywords

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    JEL classification:

    • 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
    • J7 - Labor and Demographic Economics - - Labor Discrimination
    • H11 - Public Economics - - Structure and Scope of Government - - - Structure and Scope of Government
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being

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