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Racial Profiling? Detecting Bias Using Statistical Evidence

Author

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  • 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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Bhattacharya, Debopam, 2013. "Evaluating treatment protocols using data combination," Journal of Econometrics, Elsevier, vol. 173(2), pages 160-174.
    6. 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.
    7. 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.
    8. repec:eee:juecon:v:104:y:2018:i:c:p:104-123 is not listed on IDEAS
    9. 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.

    More about this item

    Keywords

    discrimination; identification; bias;

    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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