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Learning a Population Distribution

Author

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  • Seung Han Yoo

    (Department of Economics, Korea University, Seoul, Republic of Korea)

Abstract
This paper introduces a dynamic Bayesian game with an unknown population distribution. Players do not know the true population distribution and assess it based on their private observations using Bayes' rule. First, we show the existence and characterization of an equilibrium in which each player's strategy is a function not only of the player's type but also of experience. Second, we show that each player's initial belief about the population distribution converges almost surely to a "correct" belief.

Suggested Citation

  • Seung Han Yoo, 2014. "Learning a Population Distribution," Discussion Paper Series 1401, Institute of Economic Research, Korea University.
    • Handle: RePEc:iek:wpaper:1401
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    File URL: http://econ.korea.ac.kr/~ri/WorkingPapers/w1401.pdf
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    More about this item

    Keywords

    Bayesian games; Dynamic games; Bayesian learning;
    All these keywords.

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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