Finite State Dynamic Games with Asymmetric Information: A Framework for Applied Work
AbstractWith applied work in mind, we define an equilibrium notion for dynamic games with asymmetric information which does not require a specification for players' beliefs about their opponent types. This enables us to define equilibrium conditions which, at least in principal, are testable and can be computed using a simple reinforcement learning algorithm. We conclude with an example that endogenizes the maintenance decisions for electricity generators in a dynamic game among electric utilities in which the costs states of the generators are private information.
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Bibliographic InfoPaper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 7323.
Date of creation: Jun 2009
Date of revision:
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Other versions of this item:
- Fershtman, Chaim & Pakes, Ariel, 2005. "Finite State Dynamic Games with Asymmetric Information: A Framework for Applied Work," CEPR Discussion Papers 5024, C.E.P.R. Discussion Papers.
- Ariel Pakes & Chaim Fershtman, 2009. "Finite State Dynamic Games with Asymmetric Information: A Framework for Applied Work," 2009 Meeting Papers 209, Society for Economic Dynamics.
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
- C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
- L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-07-03 (All new papers)
- NEP-CTA-2009-07-03 (Contract Theory & Applications)
- NEP-GTH-2009-07-03 (Game Theory)
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