Asymptotic value of monitoring structures in stochastic games

成果类型:
Article
署名作者:
Kim, Daehyun; Obara, Ichiro
署名单位:
University of California Los Angeles; University of California System; University of California Los Angeles
刊物名称:
THEORETICAL ECONOMICS
ISSN/ISSBN:
1933-6837
DOI:
10.3982/TE6220
发表日期:
2026
关键词:
Folk theorem INFORMATION EFFICIENCY
摘要:
This paper studies how improved monitoring affects the limit equilibrium payoff set for stochastic games with imperfect public monitoring. We introduce a simple generalization of Blackwell garbling called weighted garbling in order to compare different monitoring structures for this class of games. Our main result is the monotonicity of the limit perfect public equilibrium (PPE) payoff set with respect to this information order. We show that the limit PPE payoff set expands when the monitoring structure gets more informative with respect to the weighted garbling order. We also show that a similar monotonicity holds for strongly symmetric equilibrium for symmetric stochastic games. Finally, we show that our weighted garbling order is useful to compare the limit PPE payoff set for different state transition laws and monitoring structures when the limit feasible payoff set is the same.