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A Theory of Regular Markov Perfect Equilibria in Dynamic Stochastic Games: Genericity, Stability, and Purification

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Author Info
Doraszelski, Ulrich
Escobar, Juan
Abstract

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 6805.

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Date of creation: Apr 2008
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Handle: RePEc:cpr:ceprdp:6805

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Related research
Keywords: computation; dynamic stochastic games; essentiality; estimation; finiteness; genericity; Markov perfect equilibrium; purifiability; regularity; repeated games; strong stability;

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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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