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Statistical Evidence and the Problem of Robust Litigation

Author

Listed:
  • Jesse Bull

    (Department of Economics, Florida International University)

  • Joel Watson

    (Department of Economics, UC San Diego)

Abstract

We develop a model of statistical evidence with a sophisticated Bayesian fact-finder. The context is litigation, where a litigant (defendant or plaintiff) may disclose hard evidence and a jury (the fact-finder) interprets it. In addition to hard evidence, the litigant has private unverifiable information. We study the robustness of the parties' reasoning regarding the legal fundamentals and the litigant's strategic behavior. The litigant's choice of whether to disclose hard evidence entails two channels of information: the face-value signal of the hard evidence disclosure (relating to the probabilities that the hard evidence exists in different states of the world) and as a possible signal of the litigant's private information. Our results suggest that in some situations, a desire for robust reasoning about evidence would lead the court to restrict the admissibility of some relevant evidence. The modeling exercise provides support for the Federal Rules of Evidence Rules 403 and 404, along with general conclusions about evidence policy.

Suggested Citation

  • Jesse Bull & Joel Watson, 2018. "Statistical Evidence and the Problem of Robust Litigation," Working Papers 1801, Florida International University, Department of Economics.
    • Handle: RePEc:fiu:wpaper:1801
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    References listed on IDEAS

    as
    1. Hedlund, Jonas, 2017. "Bayesian persuasion by a privately informed sender," Journal of Economic Theory, Elsevier, vol. 167(C), pages 229-268.
    2. Benjamin Lester & Nicola Persico & Ludo Visschers, 2012. "Information Acquisition and the Exclusion of Evidence in Trials," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 28(1), pages 163-182.
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    4. Watson, Joel, 1996. "Information Transmission When the Informed Party Is Confused," Games and Economic Behavior, Elsevier, vol. 12(1), pages 143-161, January.
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    7. Schrag, Joel & Scotchmer, Suzanne, 1994. "Crime and Prejudice: The Use of Character Evidence in Criminal Trials," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 10(2), pages 319-342, October.
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    11. Jesse Bull, 2009. "Costly Evidence And Systems Of Fact‐Finding," Bulletin of Economic Research, Wiley Blackwell, vol. 61(2), pages 103-125, April.
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    15. Yeon-Koo Che & Sergei Severinov, 2017. "Disclosure and Legal Advice," American Economic Journal: Microeconomics, American Economic Association, vol. 9(2), pages 188-225, May.
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    17. Jesse Bull, 2013. "Interrogation and Evidence Fabrication," Working Papers 1303, Florida International University, Department of Economics.
    18. Bull, Jesse & Watson, Joel, 2000. "Evidence Disclosure and Verifiability," University of California at San Diego, Economics Working Paper Series qt6th0060j, Department of Economics, UC San Diego.
    19. Bull, Jesse & Watson, Joel, 2004. "Evidence disclosure and verifiability," Journal of Economic Theory, Elsevier, vol. 118(1), pages 1-31, September.
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    Cited by:

    1. Aditya Kuvalekar & Jo~ao Ramos & Johannes Schneider, 2021. "The Wrong Kind of Information," Papers 2111.04172, arXiv.org, revised Jun 2022.
    2. Aditya Kuvalekar & João Ramos & Johannes Schneider, 2023. "The wrong kind of information," RAND Journal of Economics, RAND Corporation, vol. 54(2), pages 360-384, June.
    3. Lundberg, Alexander & Mungan, Murat, 2022. "The effect of evidentiary rules on conviction rates," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 563-576.
    4. Claude Fluet & Thomas Lanzi, 2021. "Cross-Examination," Cahiers de recherche 2108, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
    5. Claude Fluet & Thomas Lanzi, 2018. "Adversarial Persuasion with Cross-Examination," Cahiers de recherche 1811, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.

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