A theory of regular Markov perfect equilibria in dynamic stochastic games: Genericity, stability, and purification

被引:41
作者
Doraszelski, Ulrich [1 ]
Escobar, Juan F. [2 ]
机构
[1] Univ Penn, Wharton Sch, Philadelphia, PA 19104 USA
[2] Univ Chile, Dept Ind Engn, Santiago, Chile
来源
THEORETICAL ECONOMICS | 2010年 / 5卷 / 03期
关键词
Dynamic stochastic games; Markov perfect equilibrium; regularity; genericity; finiteness; strong stability; essentiality; purifiability; estimation; computation; repeated games; INDUSTRY DYNAMICS; STATIONARY EQUILIBRIA; POINTS; ESTIMATORS; MODELS; FOLK;
D O I
10.3982/TE632
中图分类号
F [经济];
学科分类号
02 ;
摘要
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.
引用
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页码:369 / 402
页数:34
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