An Experiment to Evaluate Bayesian Learning of Nash Equilibrium Play.

Cox, J.C.; Shachat, J.; Walker, M.

Abstract

We report on an experiment designed to evaluate the empirical implications of Jordan's model of Bayesian learning in games of incomplete information. A finite example is constructed in which the model generates unique predictions of subjects' choices in nearly all periods. When the “true” game defined by players' private information was one with a unique equilibrium in pure strategies, the experimental subjects' play converged to the equilibrium, as Jordan's theory predicts, even when the subjects had not attained complete information about one another. But when there were two pure strategy equilibria, the theory's predictions were not consistent with observed behavior.

Citation

Cox, J., Shachat, J., & Walker, M. (2001). An Experiment to Evaluate Bayesian Learning of Nash Equilibrium Play. Games and Economic Behavior, 34(1), 11-33. https://doi.org/10.1006/game.1999.0786

• Journal Article Type: Article
• Publication Date: 2001-01
• Deposit Date: Sep 17, 2014
• Journal: Games and Economic Behavior
• Print ISSN: 0899-8256
• Electronic ISSN: 1090-2473
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 34
• Issue: 1
• Pages: 11-33
• DOI: https://doi.org/10.1006/game.1999.0786
• Public URL: https://durham-repository.worktribe.com/output/1445268