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Statistical evidence and the problem of robust litigation

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  • Bull, Jesse
  • Watson, Joel

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.
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Suggested Citation

  • Bull, Jesse & Watson, Joel, 2019. "Statistical evidence and the problem of robust litigation," University of California at San Diego, Economics Working Paper Series qt4110q2cb, Department of Economics, UC San Diego.
    • Handle: RePEc:cdl:ucsdec:qt4110q2cb
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    References listed on IDEAS

    as
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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. 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.
    3. Claude Fluet & Thomas Lanzi, 2021. "Cross-Examination," Working Papers of BETA 2021-40, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    4. 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.
    5. 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.

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