Title
Learning from private information in noisy repeated games
Abstract
We study the perfect type-contingently public ex-post equilibrium (PTXE) of repeated games where players observe imperfect public signals of the actions played, and both the payoff functions and the map from actions to signal distributions depend on an unknown state. The PTXE payoffs when players are patient are determined by the solutions to a family of linear programming problems. Using this characterization, we develop conditions under which play can be as if the players have learned the state. We provide a sufficient condition for the folk theorem, and a characterization of the PTXE payoffs in games with a known monitoring structure.
Year
DOI
Venue
2011
10.1016/j.jet.2011.03.003
Journal of Economic Theory
Keywords
DocType
Volume
C72,C73
Journal
146
Issue
ISSN
Citations 
5
0022-0531
3
PageRank 
References 
Authors
0.48
7
2
Name
Order
Citations
PageRank
Drew Fudenberg117544.93
Yuichi Yamamoto2223.17