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Information feedback in a dynamic tournament

Listed author(s):
  • Aoyagi, Masaki

This paper studies the problem of information revelation in a multi-stage tournament where the agents' effort in each stage gives rise to a stochastic performance signal privately observed by the principal. The principal controls the agents' effort incentive through the use of a feedback policy, which transforms his private information into a public announcement. The optimal feedback policy is one that maximizes the agents' expected effort. The paper identifies when the principal should use the no-feedback policy that reveals no information, or the full-feedback policy that reveals all his information.

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File URL: http://www.sciencedirect.com/science/article/pii/S0899-8256(10)00035-7
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Article provided by Elsevier in its journal Games and Economic Behavior.

Volume (Year): 70 (2010)
Issue (Month): 2 (November)
Pages: 242-260

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Handle: RePEc:eee:gamebe:v:70:y:2010:i:2:p:242-260
Contact details of provider: Web page: http://www.elsevier.com/locate/inca/622836

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