A Foundation for Markov Equilibria in Sequential Games with Finite Social Memory
成果类型:
Article
署名作者:
Bhaskar, V.; Mailath, George J.; Morris, Stephen
署名单位:
University of London; University College London; University of Pennsylvania; Princeton University
刊物名称:
REVIEW OF ECONOMIC STUDIES
ISSN/ISSBN:
0034-6527
DOI:
10.1093/restud/rds047
发表日期:
2013
页码:
925-948
关键词:
Overlapping generations
dynamic oligopoly
folk theorem
perfect equilibrium
INFORMATION
COMPETITION
reputation
MODEL
摘要:
We study stochastic games with an infinite horizon and sequential moves played by an arbitrary number of players. We assume that social memory is finite-every player, except possibly one, is finitely lived and cannot observe events that are sufficiently far back in the past. This class of games includes games between a long-run player and a sequence of short-run players, and games with overlapping generations of players. An equilibrium is purifiable if some close-by behaviour is consistent with equilibrium when agents' payoffs in each period are perturbed additively and independently. We show that only Markov equilibria are purifiable when social memory is finite. Thus if a game has at most one long-run player, all purifiable equilibria are Markov.