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Information Design: A Unified Perspective

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Abstract

Fixing a game with uncertain payoffs, information design identifies the information structure and equilibrium that maximizes the payoff of an information designer. We show how this perspective unifies existing work, including that on communication in games (Myerson (1991)), Bayesian persuasion (Kamenica and Gentzkow (2011)) and some of our own recent work. Information design has a literal interpretation, under which there is a real information designer who can commit to the choice of the best information structure (from her perspective) for a set of participants in a game. We emphasize a metaphorical interpretation, under which the information design problem is used by the analyst to characterize play in the game under many different information structures.

Suggested Citation

  • Dirk Bergemann & Stephen Morris, 2017. "Information Design: A Unified Perspective," Cowles Foundation Discussion Papers 2075R, Cowles Foundation for Research in Economics, Yale University, revised Mar 2017.
  • Handle: RePEc:cwl:cwldpp:2075r
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    Citations

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    Cited by:

    1. Bergemann, Dirk & Morris, Stephen, 2017. "Belief-free rationalizability and informational robustness," Games and Economic Behavior, Elsevier, vol. 104(C), pages 744-759.
    2. Vladimir Asriyan & William Fuchs & Brett Green, 2017. "Information Aggregation in Dynamic Markets with Adverse Selection," Working Papers 979, Barcelona Graduate School of Economics.
    3. repec:eee:ecolet:v:163:y:2018:i:c:p:83-86 is not listed on IDEAS

    More about this item

    Keywords

    Information design; Bayesian persuasion; correlated equilibrium; incomplete information; robust predictions; information structure;

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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