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Continuous Time Limits of Repeated Games with Imperfect Public Monitoring Author info | Abstract | Publisher info | Download info | Related research | Statistics Drew Fudenberg (Harvard University)
David Levine (Washington University)
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In a repeated game with imperfect public information, the set of equilibria depends on the way that the distribution of public signals varies with the players' actions. Recent research has focused on the case of "frequent monitoring," where the time interval between periods becomes small. Here we study a simple example of a commitment game with a long-run and short-run player in order to examine different specifications of how the signal distribution depends upon period length. We give a simple criterion for the existence of efficient equilibrium, and show that the efficiency of the equilibria that can be supported depends in an important way on the effect of the player's actions on the variance of the signals, and whether extreme values of the signals are "bad news" of "cheating" behavior, or "good news" of "cooperative" behavior. (Copyright: Elsevier)
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Article provided by Elsevier for the Society for Economic Dynamics in its journal Review of Economic Dynamics .
Volume (Year): 10 (2007)
Issue (Month): 2 (April)
Pages: 173-192
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Handle: RePEc:red:issued:06-189Contact details of provider: Postal: Review of Economic Dynamics Academic Press Editorial Office 525 "B" Street, Suite 1900 San Diego, CA 92101 Fax: 1-860-486-4463 Email: Web page: http://www.EconomicDynamics.org/review.htm More information through EDIRC
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Keywords: Repeated games ; Imperfect monitoring ; Diffusion process ; Folk theorem ; Repeated moral hazard ; Continuous-time limit ; Other versions of this item:
Find related papers by JEL classification: C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
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