Published November 2020
| Submitted
Journal Article
Open
Repeated Coordination with Private Learning
Chicago
Abstract
We study a repeated game with payoff externalities and observable actions where two players receive information over time about an underlying payoff-relevant state, and strategically coordinate their actions. Players learn about the true state from private signals, as well as the actions of others. They commonly learn the true state (Cripps et al., 2008), but do not coordinate in every equilibrium. We show that there exist stable equilibria in which players can overcome unfavorable signal realizations and eventually coordinate on the correct action, for any discount factor. For high discount factors, we show that in addition players can also achieve efficient payoffs.
Additional Information
© 2020 Elsevier Inc. Received 23 March 2019, Revised 1 August 2020, Accepted 19 August 2020, Available online 28 August 2020. We thank Nageeb Ali, Sylvain Chassang, Drew Fudenberg, George Mailath, Manuel Mueller-Frank, Roger Myerson, Philipp Strack, Adam Wierman, and Yuichi Yamamoto for comments. We are grateful to the editor, Xavier Vives, and two anonymous referees for valuable suggestions. This work was supported by a grant from the Simons Foundation (#419427, Omer Tamuz).Attached Files
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Additional details
- Eprint ID
- 96805
- DOI
- 10.1016/j.jet.2020.105106
- Resolver ID
- CaltechAUTHORS:20190628-075628753
- Simons Foundation
- 419427
- Created
-
2019-06-28Created from EPrint's datestamp field
- Updated
-
2021-11-16Created from EPrint's last_modified field