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Common Knowledge and Disparate Priors: When it is O.K. to Agree to Disagree

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  • Hellman, Ziv

Abstract

Abandoning the oft-presumed common prior assumption, partitioned type spaces with disparate priors are studied. It is shown that in the two-player case, a unique fundamental pair of priors can be identified in each type space, from whose properties boundaries on the possible ranges of expected values under common knowledge can be derived. In the limit as the elements of this pair approach each other,a common prior is identified, and standard results stemming from the common prior assumption are recapitulated. It is further shown that this two-player fundamental pair of priors is a special case of the n-player situation, where a representative n-tuple of fundamentally associated priors can be selected, out of at most n-1 such n-tuples, to play an analogous role.

Suggested Citation

  • Hellman, Ziv, 2007. "Common Knowledge and Disparate Priors: When it is O.K. to Agree to Disagree," MPRA Paper 3404, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:3404
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    File URL: https://mpra.ub.uni-muenchen.de/3404/1/MPRA_paper_3404.pdf
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    References listed on IDEAS

    as
    1. Robert J. Aumann, 1998. "Common Priors: A Reply to Gul," Econometrica, Econometric Society, vol. 66(4), pages 929-938, July.
    2. Geanakoplos, John D. & Polemarchakis, Heraklis M., 1982. "We can't disagree forever," Journal of Economic Theory, Elsevier, vol. 28(1), pages 192-200, October.
    3. Faruk Gul, 1998. "A Comment on Aumann's Bayesian View," Econometrica, Econometric Society, vol. 66(4), pages 923-928, July.
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    More about this item

    Keywords

    common knowledge; heterogeneous prior beliefs; common prior assumption;
    All these keywords.

    JEL classification:

    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • C70 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - General
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

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