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Bayesian Repeated Games and Reputation

Authors: Salomon, Antoine; Forges, Françoise;

Bayesian Repeated Games and Reputation

Abstract

The folk theorem characterizes the (subgame perfect) Nash equilibrium payoffs of an undiscounted or discounted infinitely repeated game - with fully informed, patient players - as the feasible individually rational payoffs of the one-shot game. To which extent does the result still hold when every player privately knows his own payoffs ? Under appropriate assumptions (private values and uniform punishments), the Nash equilibria of the Bayesian infinitely repeated game without discounting are payoff equivalent to tractable, completely revealing, equilibria and can be achieved as interim cooperative solutions of the initial Bayesian game. This characterization does not apply to discounted games with sufficiently patient players. In a class of public good games, the set of Nash equilibrium payoffs of the undiscounted game can be empty, while limit (perfect Bayesian) Nash equilibrium payoffs of the discounted game, as players become infinitely patient, do exist. These equilibria share some features with the ones of multi-sided reputation models.

Keywords

330, Public good, individual rationality, 519, C71, C72, C73, incentive compatibility, reputation,Bayesian game,incentive compatibility,individual rationality,infinitely repeated game,private values,public good,reputation., Bayesian game, Discounting, Reputation, Bayesian game, incentive compatibility, individual rationality, infinitely repeated game, private values, public good, reputation, ddc:330, reputation, Probabilités et mathématiques appliquées, D82, public good, Repeated game, H41, infinitely repeated game, private values, Incomplete information, jel: jel:D82, jel: jel:H41, jel: jel:C71, jel: jel:C72, jel: jel:C73

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Average
Average
bronze