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Racial Profiling? Detecting Bias Using Statistical Evidence

Author

Listed:
  • Nicola Persico

    (Department of Economics, New York University, New York, New York 10012)

Abstract

We review the economics literature that deals with identifying bias, or taste for discrimination, using statistical evidence. A unified model is developed that encompasses several different strategies studied in the literature. We also discuss certain more theoretical questions concerning the proper objective of discrimination law.

Suggested Citation

  • Nicola Persico, 2009. "Racial Profiling? Detecting Bias Using Statistical Evidence," Annual Review of Economics, Annual Reviews, vol. 1(1), pages 229-254, May.
    • Handle: RePEc:anr:reveco:v:1:y:2009:p:229-254
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    File URL: http://www.annualreviews.org/doi/abs/10.1146/annurev.economics.050708.143307
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    Citations

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    Cited by:

    1. Combes, Pierre-Philippe & Decreuse, Bruno & Schmutz, Benoît & Trannoy, Alain, 2018. "Neighbor discrimination theory and evidence from the French rental market," Journal of Urban Economics, Elsevier, vol. 104(C), pages 104-123.
    2. 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.
    3. Decio Coviello & Nicola Persico, 2013. "An Economic Analysis of Black-White Disparities in NYPD's Stop and Frisk Program," NBER Working Papers 18803, National Bureau of Economic Research, Inc.
    4. Shamena Anwar & Hanming Fang, 2015. "Testing for Racial Prejudice in the Parole Board Release Process: Theory and Evidence," The Journal of Legal Studies, University of Chicago Press, vol. 44(1), pages 1-37.
    5. Ivan A. Canay & Magne Mogstad & Jack Mountjoy, 2020. "On the Use of Outcome Tests for Detecting Bias in Decision Making," NBER Working Papers 27802, National Bureau of Economic Research, Inc.
    6. Liran Einav & Amy Finkelstein & Tamar Oostrom & Abigail Ostriker & Heidi Williams, 2020. "Screening and Selection: The Case of Mammograms," American Economic Review, American Economic Association, vol. 110(12), pages 3836-3870, December.
    7. Luc Behaghel & Bruno Crépon & Thomas Le Barbanchon, 2015. "Unintended Effects of Anonymous Résumés," American Economic Journal: Applied Economics, American Economic Association, vol. 7(3), pages 1-27, July.
    8. Olugbenga Ajilore, 2017. "Mental health, race, and deadly use of force," Economics Bulletin, AccessEcon, vol. 37(1), pages 423-428.
    9. 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.
    10. 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.
    11. Bhattacharya, Debopam, 2013. "Evaluating treatment protocols using data combination," Journal of Econometrics, Elsevier, vol. 173(2), pages 160-174.
    12. Gautam Rao, 2019. "Familiarity Does Not Breed Contempt: Generosity, Discrimination, and Diversity in Delhi Schools," American Economic Review, American Economic Association, vol. 109(3), pages 774-809, March.
    13. Gregory DeAngelo & R. Kaj Gittings & Amanda Ross & Annie Walker, 2016. "Police Bias in the Enforcement of Drug Crimes: Evidence from Low Priority Laws," Working Papers 16-01, Department of Economics, West Virginia University.
    14. Utteeyo Dasgupta & Subha Mani & Prakarsh Singh, 2020. "Searching for religious discrimination among childcare workers," Review of Development Economics, Wiley Blackwell, vol. 24(2), pages 362-382, May.
    15. 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.
    16. repec:hal:spmain:info:hdl:2441/6tj1d1vl8a8goacd5b3ogpmn8j is not listed on IDEAS
    17. Kapoor, Sacha & Magesan, Arvind, 2019. "Having it easy: Discrimination and specialization in the workplace," Journal of Economic Behavior & Organization, Elsevier, vol. 166(C), pages 153-173.
    18. repec:spo:wpmain:info:hdl:2441/6tj1d1vl8a8goacd5b3ogpmn8j is not listed on IDEAS
    19. Tom R. Tyler & Jeffrey Fagan & Amanda Geller, 2014. "Street Stops and Police Legitimacy: Teachable Moments in Young Urban Men's Legal Socialization," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 11(4), pages 751-785, December.
    20. Ivan A Canay & Magne Mogstad & Jack Mount, 2024. "On the Use of Outcome Tests for Detecting Bias in Decision Making," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(4), pages 2135-2167.
    21. Rodenberg Ryan, 2011. "Perception ? Reality: Analyzing Specific Allegations of NBA Referee Bias," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(2), pages 1-13, May.
    22. 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.
    23. Combes, Pierre-Philippe & Decreuse, Bruno & Schmutz, Benoît & Trannoy, Alain, 2018. "Neighbor discrimination theory and evidence from the French rental market," Journal of Urban Economics, Elsevier, vol. 104(C), pages 104-123.

    More about this item

    Keywords

    discrimination; identification; bias;
    All these keywords.

    JEL classification:

    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
    • K31 - Law and Economics - - Other Substantive Areas of Law - - - Labor Law

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