Abstract
We analyze a two-player game of strategic experimentation with two-armed bandits. Each player has to decide in continuous time whether to use a safe arm with a known payoff or a risky arm whose likelihood of delivering payoffs is initially unknown. The quality of the risky arms is perfectly negatively correlated between players. In marked contrast to the case where both risky arms are of the same type, we find that learning will be complete in any Markov perfect equilibrium if the stakes exceed a certain threshold, and that all equilibria are in cutoff strategies. For low stakes, the equilibrium is unique, symmetric, and coincides with the planner's solution. For high stakes, the equilibrium is unique, symmetric, and tantamount to myopic behavior. For intermediate stakes, there is a continuum of equilibria.
Item Type: | Paper |
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Keywords: | Strategic Experimentation, Two-Armed Bandit, Exponential Distribution, Poisson Process, Bayesian Learning, Markov Perfect Equilibrium |
Faculties: | Economics Economics > Munich Discussion Papers in Economics Economics > Munich Discussion Papers in Economics > Economics of Information Economics > Munich Discussion Papers in Economics > Mathematical Methods Economics > Munich Discussion Papers in Economics > Game Theory Economics > Chairs > Chair of Dynamic Economic Theory (closed) |
Subjects: | 300 Social sciences > 300 Social sciences, sociology and anthropology 300 Social sciences > 330 Economics |
JEL Classification: | C73, D83, H41, O32 |
URN: | urn:nbn:de:bvb:19-epub-5332-0 |
Language: | English |
Item ID: | 5332 |
Date Deposited: | 03. Aug 2008, 19:32 |
Last Modified: | 04. Nov 2020, 19:41 |