Free-Riding And Delegation In Research Teams
AbstractThis paper analyzes a two-player game of strategic experimentation with three-armed exponential bandits, where players have to decide in continuous time how to distribute their endowment flow over the arms of their respective bandit. Players face replica bandits, with one arm that is safe in that it generates a known payoff, whereas the likelihood of the risky arms' yielding a positive payoff is initially unknown. It is common knowledge that the types of the two risky arms are perfectly negatively correlated. I show that the efficient policy is incentive-compatible if, and only if, the stakes are high enough. Moreover, learning will be complete in any Markov perfect equilibrium if, and only if, the stakes exceed a certain threshold.
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Bibliographic InfoPaper provided by Society for Economic Dynamics in its series 2009 Meeting Papers with number 253.
Date of creation: 2009
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