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Identi cation of Static and Dynamic Games of Incomplete Information with Multiple Equilibria in the Data


  • Arvind Magesan

    (University of Calgary)


I study identi cation of games of incomplete information, both static and dynamic, when there are multiple equilibria in the data. In the case of static games, I show that if multiplicity disappears at a small subset of the support of the observables, payo s are identi ed. All the equilibria of the model are also then identi ed. As payo relevant unobservables are an alternative explanation to multiple equilibria for observed correlation in player actions conditional on observables, I allow for this type of variable and show that as long as a conditional exclusion restriction on the distribution of the unobservables is satis ed, payo s, equilibria and the distribution of the payo relevant unobservable are identi ed. Additionally, letting A be the number of choice alternatives, N the number of players and K the number of equilibria, as long as AN K, I show that equilibrium selection probabilities are also identi ed, a result that is useful for considering the e ects of counterfactual experiments in the presence of multiple equilibria. I extend the framework to study identi cation in dynamic games. The static approach extends in a straightforward way to nite horizon (non-stationary) games, but not to the more common case of in nite horizon (stationary) games. I show that by making additional testable restrictions on the transition probabilities, a large class of stationary dynamic games are also identi ed.

Suggested Citation

  • Arvind Magesan, "undated". "Identi cation of Static and Dynamic Games of Incomplete Information with Multiple Equilibria in the Data," Working Papers 2018-10, Department of Economics, University of Calgary, revised 16 Feb 2018.
  • Handle: RePEc:clg:wpaper:2018-10

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    More about this item


    Games of Incomplete Information; Dynamic Games; Identi cation; Multiple Equilibria in the Data; Equilibrium Selection;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • C57 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Econometrics of Games and Auctions
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games


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