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Measuring Racial Discrimination in Bail Decisions

Author

Listed:
  • David Arnold

    (Princeton University)

  • Will Dobbie

    (Harvard University - Kennedy School and NBER)

  • Peter Hull

    (University of Chicago and NBER)

Abstract

We develop new quasi-experimental tools to measure racial discrimination in the context of bail decisions. Observational comparisons of white and black pretrial release rates suffer from omitted variables bias when there are unobserved racial differences in pretrial misconduct potential. We show that the bias in these observational comparisons is a function of average white and black misconduct risk, which can be estimated from the quasi-random assignment of bail judges. Estimates from New York City show that less than one-third of the release rate disparity between white and black defendants is explained by unobserved differences in misconduct potential, with more than two-thirds explained by racial discrimination. We then develop a hierarchical marginal treatment effects model that imposes additional structure on the quasi-experimental variation to investigate the drivers of this discrimination. Model estimates show that discrimination in bail decisions is driven by both racial bias and statistical discrimination, with the latter coming from a higher level of average risk and less precise risk signals for black defendants.

Suggested Citation

  • David Arnold & Will Dobbie & Peter Hull, 2020. "Measuring Racial Discrimination in Bail Decisions," Working Papers 2020-33, Becker Friedman Institute for Research In Economics.
  • Handle: RePEc:bfi:wpaper:2020-33
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    References listed on IDEAS

    as
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    Cited by:

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    2. 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.
    3. Ashesh Rambachan, 2022. "Identifying Prediction Mistakes in Observational Data," NBER Chapters, in: Economics of Artificial Intelligence, National Bureau of Economic Research, Inc.
    4. David Arnold & Will Dobbie & Peter Hull, 2021. "Measuring Racial Discrimination in Algorithms," AEA Papers and Proceedings, American Economic Association, vol. 111, pages 49-54, May.
    5. Eli Ben-Michael & D. James Greiner & Melody Huang & Kosuke Imai & Zhichao Jiang & Sooahn Shin, 2024. "Does AI help humans make better decisions? A methodological framework for experimental evaluation," Papers 2403.12108, arXiv.org.
    6. Patrick Kline & Christopher Walters, 2021. "Reasonable Doubt: Experimental Detection of Job‐Level Employment Discrimination," Econometrica, Econometric Society, vol. 89(2), pages 765-792, March.
    7. Paul Goldsmith-Pinkham & Peter Hull & Michal Koles'ar, 2021. "Contamination Bias in Linear Regressions," Papers 2106.05024, arXiv.org, revised Feb 2024.
    8. Rehbeck, John, 2023. "Revealed Bayesian expected utility with limited data," Journal of Economic Behavior & Organization, Elsevier, vol. 207(C), pages 81-95.
    9. Benjamin Feigenberg & Conrad Miller, 2020. "Racial Disparities in Motor Vehicle Searches Cannot Be Justified by Efficiency," NBER Working Papers 27761, National Bureau of Economic Research, Inc.
    10. Jens Ludwig & Sendhil Mullainathan, 2021. "Fragile Algorithms and Fallible Decision-Makers: Lessons from the Justice System," Journal of Economic Perspectives, American Economic Association, vol. 35(4), pages 71-96, Fall.
    11. Jason Abaluck & Leila Agha & David C. Chan Jr & Daniel Singer & Diana Zhu, 2020. "Fixing Misallocation with Guidelines: Awareness vs. Adherence," NBER Working Papers 27467, National Bureau of Economic Research, Inc.
    12. Joshua Grossman & Julian Nyarko & Sharad Goel, 2023. "Racial bias as a multi‐stage, multi‐actor problem: An analysis of pretrial detention," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 20(1), pages 86-133, March.
    13. Rahul Deb & Ludovic Renou, 2022. "Which wage distributions are consistent with statistical discrimination?," Working Papers tecipa-736, University of Toronto, Department of Economics.
    14. Enzo Brox & Riccardo Di Francesco, 2024. "The Cost of Coming Out," Papers 2403.03649, arXiv.org.
    15. 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.
    16. Paul Goldsmith-Pinkham & Peter Hull & Michal Kolesár, 2021. "On Estimating Multiple Treatment Effects with Regression," Working Papers 2021-41, Princeton University. Economics Department..
    17. Claudia Williamson Kramer, 2023. "Individualism and racial tolerance," Public Choice, Springer, vol. 197(3), pages 347-370, December.

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    More about this item

    JEL classification:

    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law

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