IDEAS home Printed from https://ideas.repec.org/p/uct/uconnp/2018-22.html
   My bibliography  Save this paper

Now You See Me, Now You Don’t: The Geography of Police Stops

Author

Listed:
  • Jesse Kalinowski

    (Quinnipiac University)

  • Matthew B. Ross

    (New York University)

  • Stephen L. Ross

    (University of Connecticut)

Abstract

This paper uses state police stop data in Texas to assess patrol activity. We find that both the types of stops and the allocation of resources over space change in darkness relative to daylight, and that the changes in stop type and manpower allocation are correlated within police officers. We also find that the counties receiving more police resources in darkness have a higher share of minority residents. Veil of Darkness (VOD) tests of racial discrimination in traffic stops require that the distribution of motorists be independent of darkness, which is unlikely to be the case without detailed geographic controls.

Suggested Citation

  • Jesse Kalinowski & Matthew B. Ross & Stephen L. Ross, 2018. "Now You See Me, Now You Don’t: The Geography of Police Stops," Working papers 2018-22, University of Connecticut, Department of Economics.
    • Handle: RePEc:uct:uconnp:2018-22
    as

    Download full text from publisher

    File URL: https://media.economics.uconn.edu/working/2018-22.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    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. Abrahams, Scott, 2020. "Officer differences in traffic stops of minority drivers," Labour Economics, Elsevier, vol. 67(C).

    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. Jesse Kalinowski & Matthew B. Ross & Stephen L. Ross, 2019. "Addressing Seasonality in Veil of Darkness Tests for Discrimination: An Instrumental Variables Approach," Working papers 2019-07, University of Connecticut, Department of Economics.
    2. Kevin Lang & Ariella Kahn-Lang Spitzer, 2020. "Race Discrimination: An Economic Perspective," Journal of Economic Perspectives, American Economic Association, vol. 34(2), pages 68-89, Spring.
    3. Ingrid Gould Ellen & Stephen L. Ross, 2018. "Race and the City," Working Papers 2018-022, Human Capital and Economic Opportunity Working Group.
    4. Pauline Grosjean & Federico Masera & Hasin Yousaf, 2023. "Inflammatory Political Campaigns and Racial Bias in Policing," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(1), pages 413-463.
    5. Shi, Ying & Zhu, Maria, 2022. "Equal time for equal crime? Racial bias in school discipline," Economics of Education Review, Elsevier, vol. 88(C).
    6. Felipe Goncalves & Steven Mello, 2021. "A Few Bad Apples? Racial Bias in Policing," American Economic Review, American Economic Association, vol. 111(5), pages 1406-1441, May.
    7. Matt E. Ryan, 2020. "The heat: temperature, police behavior and the enforcement of law," European Journal of Law and Economics, Springer, vol. 49(2), pages 187-203, April.
    8. Jesse Kalinowski & Matthew B. Ross & Stephen L. Ross, 2017. "Endogenous Driving Behavior in Tests of Racial Profiling in Police Traffic Stops," Working papers 2017-03, University of Connecticut, Department of Economics, revised Mar 2020.
    9. Abrahams, Scott, 2020. "Officer differences in traffic stops of minority drivers," Labour Economics, Elsevier, vol. 67(C).
    10. Mark Hoekstra & CarlyWill Sloan, 2022. "Does Race Matter for Police Use of Force? Evidence from 911 Calls," American Economic Review, American Economic Association, vol. 112(3), pages 827-860, March.
    11. Ritter, Joseph A., 2017. "How do police use race in traffic stops and searches? Tests based on observability of race," Miscellaneous Publications 253354, University of Minnesota, Department of Applied Economics.
    12. Madina Kurmangaliyeva & Matteo Sostero, 2022. "Walking while Black :Racial Gaps in Hit-and-Run Cases," Working Papers ECARES 2022-08, ULB -- Universite Libre de Bruxelles.
    13. 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.
    14. Makofske, Matthew, 2020. "Pretextual Traffic Stops and Racial Disparities in their Use," MPRA Paper 100792, University Library of Munich, Germany.
    15. Carl Lieberman, 2020. "Variation in Racial Disparities in Police Use of Force," Working Papers 639, Princeton University, Department of Economics, Industrial Relations Section..
    16. Miller, Kirk, 2009. "Race, driving, and police organization: Modeling moving and nonmoving traffic stops with citizen self-reports of driving practices," Journal of Criminal Justice, Elsevier, vol. 37(6), pages 564-575, November.
    17. DeAngelo, Gregory & Owens, Emily G., 2017. "Learning the ropes: General experience, task-Specific experience, and the output of police officers," Journal of Economic Behavior & Organization, Elsevier, vol. 142(C), pages 368-377.
    18. Debopam Bhattacharya & Shin Kanaya & Margaret Stevens, 2017. "Are University Admissions Academically Fair?," The Review of Economics and Statistics, MIT Press, vol. 99(3), pages 449-464, July.
    19. Briggs Depew & Ozkan Eren & Naci Mocan, 2017. "Judges, Juveniles, and In-Group Bias," Journal of Law and Economics, University of Chicago Press, vol. 60(2), pages 209-239.
    20. 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

    Police; Traffic Stops; Patrol Locations; Veil of Darkness; Racial Profiling; Racial Discrimination;
    All these keywords.

    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
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • H11 - Public Economics - - Structure and Scope of Government - - - Structure and Scope of Government

    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:uct:uconnp:2018-22. 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: Mark McConnel (email available below). General contact details of provider: https://edirc.repec.org/data/deuctus.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.