Title
Correlated Equilibrium in Games with Incomplete Information
Author(s)
Dirk Bergemann Dirk Bergemann (Yale University)
Stephen Morris Stephen Morris (Princeton University)
Abstract
We define a notion of correlated equilibrium for games with incomplete information in a general setting with finite players, finite actions, and finite states, which we call Bayes correlated equilibrium. The set of Bayes correlated equilibria of a fixed incomplete information game equals the set of probability distributions over actions, states and types that might arise in any Bayes Nash equilibrium where players observed additional information. We show that more information always shrinks the set of Bayes correlated equilibria.
Creation Date
2011-10
Section URL ID
ET
Paper Number
024_2011
URL
http://www.dklevine.com/archive/refs4786969000000000265.pdf
File Function
Jel
C72, D82, D83
Keyword(s)
Correlated equilibrium, Incomplete information, Robust predictions, Information structure
Suppress
false
Series
10