Learning from private information in noisy repeated games

A-Tier
Journal: Journal of Economic Theory
Year: 2011
Volume: 146
Issue: 5
Pages: 1733-1769

Authors (2)

Score contribution per author:

2.011 = (α=2.01 / 2 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

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.

Technical Details

RePEc Handle
repec:eee:jetheo:v:146:y:2011:i:5:p:1733-1769
Journal Field
Theory
Author Count
2
Added to Database
2026-01-25