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Modeling a Satisficing Judge

Author

Listed:
  • Christoph Engel

    (Max Planck Institute for Research on Collective Goods, Bonn)

  • Werner Güth

    (Max Planck Institute for Research on Collective Goods, Bonn)

Abstract

Judges and juries frequently must decide, knowing that they do not know everything that would be relevant for deciding the case. The law uses two related institutions for enabling courts to nonetheless decide the case: the standard of proof, and the burden of proof. In this paper, we contrast a standard rational choice approach with a satisficing approach. Standard theory would want judges to rationally deal with the limitations of the evidence. We posit that this is not only descriptively implausible, but also normatively undesirable. We propose a theoretical framework for a judge who only considers scenarios that "she does not dare to neglect", and aims at decisions that are "good enough", given the undissolvable limitations of the evidence. We extend this approach to parties who strategically exploit the limited factual basis, and to judges who have to allocate limited resources for fact finding to more than one case.

Suggested Citation

  • Christoph Engel & Werner Güth, 2015. "Modeling a Satisficing Judge," Discussion Paper Series of the Max Planck Institute for Behavioral Economics 2015_14, Max Planck Institute for Behavioral Economics.
  • Handle: RePEc:mpg:wpaper:2015_14
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    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • K41 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Litigation Process
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles

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