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A Globally Convergent Algorithm to Compute Stationary Equilibria in Stochastic Games

Author

Listed:
  • P.J.J. Herings

    (University of Maastricht)

  • R. Peeters

    (University of Maastricht)

Abstract

No abstract is available for this item.

Suggested Citation

  • P.J.J. Herings & R. Peeters, 2001. "A Globally Convergent Algorithm to Compute Stationary Equilibria in Stochastic Games," Game Theory and Information 0205001, University Library of Munich, Germany.
    • Handle: RePEc:wpa:wuwpga:0205001
    Note: Type of Document - pdf.format; pages: 31
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    File URL: https://econwpa.ub.uni-muenchen.de/econ-wp/game/papers/0205/0205001.pdf
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    References listed on IDEAS

    as
    1. Mas-Colell,Andreu, 1990. "The Theory of General Economic Equilibrium," Cambridge Books, Cambridge University Press, number 9780521388702, August.
    2. John C. Harsanyi & Reinhard Selten, 1988. "A General Theory of Equilibrium Selection in Games," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262582384, December.
    3. Ariel Pakes & Paul McGuire, 1997. "Stochastic Algorithms for Dynamic Models: Markov Perfect Equilibrium, and the 'Curse' of Dimensionality," Cowles Foundation Discussion Papers 1144, Cowles Foundation for Research in Economics, Yale University.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Ruchira Datta, 2010. "Finding all Nash equilibria of a finite game using polynomial algebra," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 42(1), pages 55-96, January.
    2. P. Herings & Ronald Peeters, 2010. "Homotopy methods to compute equilibria in game theory," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 42(1), pages 119-156, January.

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    More about this item

    Keywords

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    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • 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

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