IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp10631.html
   My bibliography  Save this paper

Using a Ratio Test to Estimate Racial Differences in Wrongful Conviction Rates

Author

Listed:
  • Bjerk, David J.

    (Claremont McKenna College)

  • Helland, Eric

    (Claremont McKenna College)

Abstract

We show that under arguably plausible assumptions regarding the DNA exoneration process, in expectation, the ratio of DNA exoneration rates across races among defendants convicted for the same crime in the same state provides an upper bound on the ratio of wrongful conviction rates across races among these defendants. Our estimates of this statistic reveal that among those sentenced to incarceration for rape in the United States between 1983 and 1997, the wrongful conviction rate among white defendants was less than two-thirds of what it was for black defendants. Our results with respect to murder are inconclusive.

Suggested Citation

  • Bjerk, David J. & Helland, Eric, 2017. "Using a Ratio Test to Estimate Racial Differences in Wrongful Conviction Rates," IZA Discussion Papers 10631, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp10631
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp10631.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Ezra Friedman & Abraham L. Wickelgren, 2006. "Bayesian Juries and The Limits to Deterrence," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 22(1), pages 70-86, April.
    3. David Bjerk, 2007. "Guilt Shall Not Escape or Innocence Suffer? The Limits of Plea Bargaining When Defendant Guilt is Uncertain," American Law and Economics Review, American Law and Economics Association, vol. 9(2), pages 305-329.
    4. Derek Neal & Armin Rick, 2016. "The Prison Boom and Sentencing Policy," The Journal of Legal Studies, University of Chicago Press, vol. 45(1), pages 1-41.
    5. Mustard, David B, 2001. "Racial, Ethnic, and Gender Disparities in Sentencing: Evidence from the U.S. Federal Courts," Journal of Law and Economics, University of Chicago Press, vol. 44(1), pages 285-314, April.
    6. 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.
    7. 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.
    8. John Knowles & Nicola Persico & Petra Todd, 2001. "Racial Bias in Motor Vehicle Searches: Theory and Evidence," Journal of Political Economy, University of Chicago Press, vol. 109(1), pages 203-232, February.
    9. David S. Abrams & Marianne Bertrand & Sendhil Mullainathan, 2012. "Do Judges Vary in Their Treatment of Race?," The Journal of Legal Studies, University of Chicago Press, vol. 41(2), pages 347-383.
    10. Miceli, Thomas J, 1990. "Optimal Prosecution of Defendants Whose Guilt Is Uncertain," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 6(1), pages 189-201, Spring.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    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. Shi, Ying & Zhu, Maria, 2022. "Equal time for equal crime? Racial bias in school discipline," Economics of Education Review, Elsevier, vol. 88(C).
    4. Thomas J. Miles, 2012. "Racial Disparities in Wiretap Applications before Federal Judges," The Journal of Legal Studies, University of Chicago Press, vol. 41(2), pages 419-458.
    5. Anwar Shamena & Fang Hanming, 2012. "Testing for the Role of Prejudice in Emergency Departments Using Bounceback Rates," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 13(3), pages 1-49, December.
    6. Brady P. Horn & Jill J. Mccluskey & Ron C. Mittelhammer, 2014. "Quantifying Bias In Driving-Under-The-Influence Enforcement," Economic Inquiry, Western Economic Association International, vol. 52(1), pages 269-284, January.
    7. Ingrid Gould Ellen & Stephen L. Ross, 2018. "Race and the City," Working papers 2018-03, University of Connecticut, Department of Economics.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Makofske, Matthew, 2020. "Pretextual Traffic Stops and Racial Disparities in their Use," MPRA Paper 100792, University Library of Munich, Germany.
    13. 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.
    14. Stroube, Bryan K., 2021. "Using allegations to understand selection bias in organizations: Misconduct in the Chicago Police Department," Organizational Behavior and Human Decision Processes, Elsevier, vol. 166(C), pages 149-165.
    15. Ritter, Joseph A., 2013. "Racial Bias in Traffic Stops: Tests of a Unified Model of Stops and Searches," Miscellaneous Publications 152496, University of Minnesota, Department of Applied Economics.
    16. Nicolás Grau & Damián Vergara, "undated". "A Simple Test for Prejudice in Decision Processes: The Prediction-Based Outcome Test," Working Papers wp493, University of Chile, Department of Economics.
    17. Bhattacharya, Debopam, 2013. "Evaluating treatment protocols using data combination," Journal of Econometrics, Elsevier, vol. 173(2), pages 160-174.
    18. Jessica LaVoice & Domonkos F. Vamossy, 2019. "Racial Disparities in Debt Collection," Papers 1910.02570, arXiv.org, revised Jun 2023.
    19. Emma Pierson & Camelia Simoiu & Jan Overgoor & Sam Corbett-Davies & Daniel Jenson & Amy Shoemaker & Vignesh Ramachandran & Phoebe Barghouty & Cheryl Phillips & Ravi Shroff & Sharad Goel, 2020. "A large-scale analysis of racial disparities in police stops across the United States," Nature Human Behaviour, Nature, vol. 4(7), pages 736-745, July.
    20. Bjerk, David J. & Helland, Eric, 2018. "What Can DNA Exonerations Tell Us about Racial Differences in Wrongful Conviction Rates?," IZA Discussion Papers 11837, Institute of Labor Economics (IZA).

    More about this item

    Keywords

    wrongful convictions; racial bias; judicial bias; exonerations; DNA evidence;
    All these keywords.

    JEL classification:

    • K14 - Law and Economics - - Basic Areas of Law - - - Criminal Law
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination

    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:iza:izadps:dp10631. 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: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.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.