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Distributional Perfect Equilibrium in Bayesian Games with Applications to Auctions

Author

Listed:
  • Elnaz Bajoori

    (University of Bath)

  • Dries Vermeulen

    (Maastricht University)

Abstract

In second-price auctions with interdependent values, bidders do not necessarily have dominant strategies. Moreover, such auctions may have many equilibria. In order to rule out the less intuitive equilibria, we define the notions of distributional perfect and strong distributional perfect equilibria for Bayesian games with infinite type and action spaces. We prove that every Bayesian game has a distributional perfect equilibrium provided that the information structure of the game is absolutely continuous and the payoffs are continuous in actions for every type. We apply strong distributional perfection to a class of symmetric second-price auctions with interdependent values and show that the efficient equilibrium defined by Milgrom [22] is strongly distributionally perfect, while a class of less intuitive, inefficient, equilibria introduced by Birulin [11] is not.

Suggested Citation

  • Elnaz Bajoori & Dries Vermeulen, 2018. "Distributional Perfect Equilibrium in Bayesian Games with Applications to Auctions," Department of Economics Working Papers 15/13R, University of Bath, Department of Economics.
  • Handle: RePEc:eid:wpaper:58163
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    References listed on IDEAS

    as
    1. Philip J. Reny, 2011. "On the Existence of Monotone Pure‐Strategy Equilibria in Bayesian Games," Econometrica, Econometric Society, vol. 79(2), pages 499-553, March.
    2. Bikhchandani, Sushil & Riley, John G., 1991. "Equilibria in open common value auctions," Journal of Economic Theory, Elsevier, vol. 53(1), pages 101-130, February.
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    5. Bajoori, Elnaz & Flesch, János & Vermeulen, Dries, 2016. "Behavioral perfect equilibrium in Bayesian games," Games and Economic Behavior, Elsevier, vol. 98(C), pages 78-109.
    6. Paul R. Milgrom & Robert J. Weber, 1985. "Distributional Strategies for Games with Incomplete Information," Mathematics of Operations Research, INFORMS, vol. 10(4), pages 619-632, November.
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