Elsevier

Journal of Economic Theory

Volume 114, Issue 2, February 2004, Pages 280-309
Journal of Economic Theory

Unobserved heterogeneity and equilibrium: an experimental study of Bayesian and adaptive learning in normal form games

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Abstract

We describe an experiment based on a simple two-person game designed so that different learning models make different predictions. Econometric analysis of the experimental data reveals clear heterogeneity in the subjects’ learning behavior. But the subjects follow only a few decision rules for basing their play on their information, and these rules have simple cognitive interpretations. There is a unique equilibrium in pure strategies, and many equilibria in mixed strategies. We find that the only equilibrium consistent with the data is one of the mixed strategy equilibria. This equilibrium is shown, surprisingly, to be consistent with Jordan's Bayesian model.

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Prior research done in collaboration with James Cox influenced our thinking about experiments on learning in games. Timothy O'Neill developed the software for the experiment. John Joganic provided programming assistance for the maximum likelihood estimation. For helpful comments and suggestions we are grateful to Vincent Crawford, Mahmoud El Gamal, David Grether, James Jordan, Micheal Keane, Kathleen McGarry, Richard McKelvey, James Ratliff, Robert Rosenthal, Neil Wallace, John Wooders, and William Zame, and to many conference and seminar audiences.

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