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Compressed Equilibrium in Large Repeated Games of Incomplete Information

  • Ehud Kalai
  • Eran Shmaya
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    Due to their many applications, large Bayesian games have been a subject of growing interest in game theory and related fields. But to a large extent, models (1) have been restricted to one-shot interaction, (2) are based on an assumption that player types are independent and (3) assume that the number of players is known. The current paper develops a general theory of Bayesian repeated large games that avoids some of these difficulties. To make the analysis more robust, it develops a concept of compressed equilibrium which is applicable to a general class of Bayesian repeated large anonymous games. JEL Classification Numbers: C72, C72

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    Paper provided by Northwestern University, Center for Mathematical Studies in Economics and Management Science in its series Discussion Papers with number 1562.

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    Date of creation: 01 Apr 2013
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    Handle: RePEc:nwu:cmsems:1562
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