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A Theory of Regular Markov Perfect Equilibria in Dynamic Stochastic Games: Genericity, Stability, and Purification Author info | Abstract | Publisher info | Download info | Related research | Statistics Doraszelski, Ulrich
Escobar, Juan
This paper develops a theory of regular Markov perfect equilibria in dynamic stochastic games. We show that almost all dynamic stochastic games have a finite number of locally isolated Markov perfect equilibria that are all regular. These equilibria are essential and strongly stable. Moreover, they all admit purification.
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Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number
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Date of creation: Apr 2008Date of revision:
Handle: RePEc:cpr:ceprdp:6805Contact details of provider: Postal: Centre for Economic Policy Research, 53--56 Great Sutton Street, London EC1V 0DG Phone: 44 - 20 - 7183 8801 Fax: 44 - 20 - 7183 8820
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Keywords: computation ; dynamic stochastic games ; essentiality ; estimation ; finiteness ; genericity ; Markov perfect equilibrium ; purifiability ; regularity ; repeated games ; strong stability ; Other versions of this item:
Find related papers by JEL classification: C61 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Optimization Techniques; Programming Models; Dynamic Analysis C62 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Existence and Stability Conditions of Equilibrium C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
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