Payoff externalities and social learning

成果类型:
Article
署名作者:
Arieli, Itai
署名单位:
Technion Israel Institute of Technology
刊物名称:
GAMES AND ECONOMIC BEHAVIOR
ISSN/ISSBN:
0899-8256
DOI:
10.1016/j.geb.2017.05.005
发表日期:
2017
页码:
392-410
关键词:
Social learning Payoff externalities asymptotic learning
摘要:
We study a social learning model with payoff externalities in which one of two state dependent games is chosen at random and then played repeatedly by a different group of agents. Each generation observes the history of actions and receives conditionally independent private signals about the realized game. We show that with probability one, the play converges to the set of equilibria of an appropriate convex combination of the two state games. We provide a necessary and sufficient condition on the private signal distribution for asymptotic learning and show that in some cases asymptotic learning holds for a wide range of bounded private signals. (C) 2017 Elsevier Inc. All rights reserved.
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