IDEAS home Printed from https://ideas.repec.org/p/fip/fedlwp/2004-012.html
   My bibliography  Save this paper

Racial profiling or racist policing? bounds tests in aggregate data

Author

Listed:
  • Ruben Hernandez-Murillo
  • John Knowles

Abstract

State-wide reports on police traffic stops and searches summarize very large populations, making them potentially powerful tools for identifying racial bias, particularly when statistics on search outcomes are included. But when the reported statistics conflate searches involving different levels of police discretion, standard tests for racial bias are not applicable. This paper develops a model of police search decisions that allows for non-discretionary searches and derives tests for racial bias in data that mixes different search types. Our tests reject unbiased policing as an explanation of the disparate impact of motor-vehicle searches on minorities in Missouri

Suggested Citation

  • Ruben Hernandez-Murillo & John Knowles, 2004. "Racial profiling or racist policing? bounds tests in aggregate data," Working Papers 2004-012, Federal Reserve Bank of St. Louis.
  • Handle: RePEc:fip:fedlwp:2004-012
    as

    Download full text from publisher

    File URL: http://research.stlouisfed.org/wp/2004/2004-012.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Gary S. Becker, 1974. "Crime and Punishment: An Economic Approach," NBER Chapters, in: Essays in the Economics of Crime and Punishment, pages 1-54, National Bureau of Economic Research, Inc.
    2. Manski, Charles F., 1992. "Identification Problems In The Social Sciences," SSRI Workshop Series 292716, University of Wisconsin-Madison, Social Systems Research Institute.
    3. Horowitz, Joel L & Manski, Charles F, 1995. "Identification and Robustness with Contaminated and Corrupted Data," Econometrica, Econometric Society, vol. 63(2), pages 281-302, March.
    4. 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.
    5. John V. Pepper, 2000. "The Intergenerational Transmission Of Welfare Receipt: A Nonparametric Bounds Analysis," The Review of Economics and Statistics, MIT Press, vol. 82(3), pages 472-488, August.
    6. 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.
    7. Brent Kreider & John Pepper, 2008. "Inferring disability status from corrupt data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(3), pages 329-349.
    8. Guido W. Imbens & Charles F. Manski, 2004. "Confidence Intervals for Partially Identified Parameters," Econometrica, Econometric Society, vol. 72(6), pages 1845-1857, November.
    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. 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.
    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, vol. 96(1), pages 127-151, March.
    3. 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.
    4. 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.
    5. Brian Williams & Michael Stahl, 2008. "An analysis of police traffic stops and searches in Kentucky: a mixed methods approach offering heuristic and practical implications," Policy Sciences, Springer;Society of Policy Sciences, vol. 41(3), pages 221-243, September.
    6. Yu-Wei Luke Chu, 2015. "Do Medical Marijuana Laws Increase Hard-Drug Use?," Journal of Law and Economics, University of Chicago Press, vol. 58(2), pages 481-517.
    7. 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.
    8. 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.
    9. 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).
    10. Thomas A. Garrett & Gary A. Wagner, 2009. "Red Ink in the Rearview Mirror: Local Fiscal Conditions and the Issuance of Traffic Tickets," Journal of Law and Economics, University of Chicago Press, vol. 52(1), pages 71-90, February.
    11. Sarath Sanga, 2009. "Reconsidering Racial Bias in Motor Vehicle Searches: Theory and Evidence," Journal of Political Economy, University of Chicago Press, vol. 117(6), pages 1155-1159, December.
    12. 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.
    13. David Bjerk, 2007. "Racial Profiling, Statistical Discrimination, and the Effect of a Colorblind Policy on the Crime Rate," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 9(3), pages 521-545, June.
    14. Antonio Merlo, 2004. "Introduction To Economic Models Of Crime," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 45(3), pages 677-679, August.
    15. Marco Cozzi, 2010. "Accounting For The Racial Property Crime Gap In The Us: A Quantitative Equilibrium Analysis," Working Paper 1233, Economics Department, Queen's University.
    16. Trevor G. Gardner, 2014. "Racial Profiling as Collective Definition," Social Inclusion, Cogitatio Press, vol. 2(3), pages 052-059.
    17. Paul Heaton, 2010. "Understanding the Effects of Antiprofiling Policies," Journal of Law and Economics, University of Chicago Press, vol. 53(1), pages 29-64, February.

    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. Gundersen, Craig & Kreider, Brent, 2009. "Bounding the effects of food insecurity on children's health outcomes," Journal of Health Economics, Elsevier, vol. 28(5), pages 971-983, September.
    2. Craig Gundersen & Brent Kreider, 2008. "Food Stamps and Food Insecurity: What Can Be Learned in the Presence of Nonclassical Measurement Error?," Journal of Human Resources, University of Wisconsin Press, vol. 43(2), pages 352-382.
    3. Francesca Molinari, 2020. "Microeconometrics with Partial Identi?cation," CeMMAP working papers CWP15/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Gundersen, Craig & Kreider, Brent & Pepper, John, 2012. "The impact of the National School Lunch Program on child health: A nonparametric bounds analysis," Journal of Econometrics, Elsevier, vol. 166(1), pages 79-91.
    5. Molinari, Francesca, 2008. "Partial identification of probability distributions with misclassified data," Journal of Econometrics, Elsevier, vol. 144(1), pages 81-117, May.
    6. Kreider, Brent & Pepper, John V., 2011. "Identification of Expected Outcomes in a Data Error Mixing Model With Multiplicative Mean Independence," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(1), pages 49-60.
    7. Brent Kreider & John V. Pepper & Craig Gundersen & Dean Jolliffe, 2012. "Identifying the Effects of SNAP (Food Stamps) on Child Health Outcomes When Participation Is Endogenous and Misreported," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(499), pages 958-975, September.
    8. Brent Kreider & John V. Pepper & Manan Roy, 2020. "Does The Women, Infants, And Children Program Improve Infant Health Outcomes?," Economic Inquiry, Western Economic Association International, vol. 58(4), pages 1731-1756, October.
    9. Punarjit Roychowdhury & Gaurav Dhamija, 2022. "Don't cross the line: Bounding the causal effect of hypergamy violation on domestic violence in India," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 1952-1978, October.
    10. Kreider, Brent & Pepper, John V. & Roy, Manan, 2018. "Does the Women, Infants, and Children Program (WIC) Improve Infant Health Outcomes?," ISU General Staff Papers 201805010700001055, Iowa State University, Department of Economics.
    11. Ding Liu & Daniel L. Millimet, 2021. "Bounding the joint distribution of disability and employment with misclassification," Health Economics, John Wiley & Sons, Ltd., vol. 30(7), pages 1628-1647, July.
    12. Brent Kreider & Steven C. Hill, 2009. "Partially Identifying Treatment Effects with an Application to Covering the Uninsured," Journal of Human Resources, University of Wisconsin Press, vol. 44(2).
    13. Molinari, Francesca, 2010. "Missing Treatments," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(1), pages 82-95.
    14. Christian Bontemps & Thierry Magnac & Eric Maurin, 2012. "Set Identified Linear Models," Econometrica, Econometric Society, vol. 80(3), pages 1129-1155, May.
    15. van Soest, Arthur & Hurd, Michael, 2008. "A Test for Anchoring and Yea-Saying in Experimental Consumption Data," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 126-136, March.
    16. 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.
    17. Kreider, Brent & Pepper, John V., 2007. "Disability and Employment: Reevaluating the Evidence in Light of Reporting Errors," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 432-441, June.
    18. 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.
    19. Brent Kreider & John V. Pepper & Manan Roy, 2016. "Identifying the Effects of WIC on Food Insecurity Among Infants and Children," Southern Economic Journal, John Wiley & Sons, vol. 82(4), pages 1106-1122, April.
    20. Philip A. Haile & Elie Tamer, 2003. "Inference with an Incomplete Model of English Auctions," Journal of Political Economy, University of Chicago Press, vol. 111(1), pages 1-51, February.

    More about this item

    Keywords

    Households; Public policy;

    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:fip:fedlwp:2004-012. 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: Anna Oates (email available below). General contact details of provider: https://edirc.repec.org/data/frbslus.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.