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Bayesian Contractual Interpretation

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  • Yair Listokin

Abstract

Courts seeking the most likely intent of contracting parties should interpret contracts according to Bayes's rule. The best interpretation of a contract reflects both the prior likelihood (base rate) of a pair of contracting parties having a given intention and the probability that the contract would be written as it is given that intention. If the base rate of the intention associated with the simplest reading of the contract is low, then Bayes's rule implies that the simplest reading is not necessarily the interpretation of the contract that most likely captures the intention of the parties. The Bayesian framework explains when default rules should be more or less sticky and helps to define the appropriate role of boilerplate language in contractual interpretation.

Suggested Citation

  • Yair Listokin, 2010. "Bayesian Contractual Interpretation," The Journal of Legal Studies, University of Chicago Press, vol. 39(2), pages 359-374.
  • Handle: RePEc:ucp:jlstud:doi:10.1086/652459
    DOI: 10.1086/652459
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    References listed on IDEAS

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    1. Bebchuk, Lucian Ayre & Shavell, Steven, 1991. "Information and the Scope of Liability for Breach of Contract: The Rule of Hadley vs. Baxendale," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 7(2), pages 284-312, Fall.
    2. Steven Shavell, 2006. "On the Writing and the Interpretation of Contracts," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 22(2), pages 289-314, October.
    3. Alan Schwartz & Robert Scott, "undated". "Contract Theory and the Limits of Contract Law," Yale Law School John M. Olin Center for Studies in Law, Economics, and Public Policy Working Paper Series yale_lepp-1011, Yale Law School John M. Olin Center for Studies in Law, Economics, and Public Policy.
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    Cited by:

    1. Joel Watson, 2021. "Theoretical Foundations of Relational Incentive Contracts," Annual Review of Economics, Annual Reviews, vol. 13(1), pages 631-659, August.

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