A theory of regular Markov perfect equilibria in dynamic stochastic games: genericity, stability, and purification
This paper studies generic properties of 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. These equilibria are essential and strongly stable. Moreover, they all admit purification. To establish these results, we introduce a notion of regularity for dynamic stochastic games and exploit a simple connection between normal form and dynamic stochastic games.
Year of publication: |
2010-09-22
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Authors: | Doraszelski, Ulrich ; Escobar, Juan |
Published in: |
Theoretical Economics. - Econometric Society, ISSN 1555-7561. - Vol. 5.2010, 3
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Publisher: |
Econometric Society |
Subject: | Dynamic stochastic games | Markov perfect equilibrium | regularity | genericity | finiteness | strong stability | essentiality | purifiability | estimation | computation | repeated games |
Saved in:
freely available
Extent: | application/pdf |
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Type of publication: | Article |
Language: | English |
Classification: | C73 - Stochastic and Dynamic Games ; C61 - Optimization Techniques; Programming Models; Dynamic Analysis ; C62 - Existence and Stability Conditions of Equilibrium |
Source: |
Persistent link: https://www.econbiz.de/10008562484