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One-sided uncertainty and delay in reputational bargaining

Author

Listed:
  • Abreu, Dilip

    (Department of Economics, Princeton University)

  • Pearce, David G.

    (Department of Economics, New York University)

  • Stacchetti, Ennio

    (Department of Economics, New York University)

Abstract

A two-person infinite-horizon bargaining model where one of the players may have either of two discount factors, has a multiplicity of perfect Bayesian equilibria. Introducing the slightest possibility that either player may be one of a rich variety of stationary behavioral types singles out a particular solution and appears to support some axiomatic treatments in the early literature in their conclusion that there is a negligible delay to agreement. Perturbing the model with a slightly broader class of behavioral types that allows the informed player to delay making his initial demand again achieves powerful equilibrium refinement. But there is substantial delay to agreement, and predictions depend continuously on the ex ante probabilities of the patient and impatient types of the informed player, counter to what the literature suggests.

Suggested Citation

  • Abreu, Dilip & Pearce, David G. & Stacchetti, Ennio, 2015. "One-sided uncertainty and delay in reputational bargaining," Theoretical Economics, Econometric Society, vol. 10(3), September.
  • Handle: RePEc:the:publsh:1564
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    References listed on IDEAS

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    4. Mehmet Ekmekci & Hanzhe Zhang, 2021. "Reputational Bargaining with Ultimatum Opportunities," Papers 2105.01581, arXiv.org.
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    More about this item

    Keywords

    Reputation; bargaining; asymmetric information; Coase conjecture;
    All these keywords.

    JEL classification:

    • C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory
    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

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