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Repeated Games with Imperfect Private Monitoring: Notes on a Coordination Perspective

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George J. Mailath
Stephen Morris

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Abstract

In repeated games with imperfect public monitoring, players can use public signals to perfectly coordinate their behavior. Our study of repeated games with imperfect private monitoring focusses on the coordination problem that arises without public signals. We present three new observations. First, in a simple twice repeated game, we characterize the private signalling technologies that allow non-static Nash behavior in pure strategy equilibria. Our characterization uses the language of common p-belief due to Monderer and Samet (GEB, 1989). Second, we show that in the continuum action convention game of Shin and Williamson (GEB, 1996), for any full support private monitoring technology, equilibria of the finitely repeated convention game must involve only static Nash equilibria. By contrast, with sufficiently informative public monitoring, the multiplicity of Nash equilibria allows a finite folk theorem. Finally, for finite action games, we prove that there are full support private monitoring technologies for which a Nash reversion infinite horizon folk theorem holds.

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Paper provided by University of Pennsylvania Center for Analytic Research and Economics in the Social Sciences in its series CARESS Working Papres with number imp-mon.

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Date of creation: 03 Jul 1998
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Handle: RePEc:wop:pennca:imp-mon

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  1. Michihiro Kandori, 2006. "Repeated Games, Entry in The New Palgrave Dictionary of Economics, 2nd Edition," CIRJE F-Series CIRJE-F-395, CIRJE, Faculty of Economics, University of Tokyo. [Downloadable!]
  2. Ichiro Obara, . "The Repeated Prisoner's Dilemma with Private Monitoring: a N-player case," CARESS Working Papres 99-13, University of Pennsylvania Center for Analytic Research and Economics in the Social Sciences. [Downloadable!]
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  3. Hitoshi Matsushima, 2001. "The Folk Theorem with Private Monitoring," CIRJE F-Series CIRJE-F-123, CIRJE, Faculty of Economics, University of Tokyo. [Downloadable!]
  4. Hitoshi Matsushima, 2000. "The Folk Theorem with Private Monitoring and Uniform Sustainability," CIRJE F-Series CIRJE-F-84, CIRJE, Faculty of Economics, University of Tokyo. [Downloadable!]
  5. V. Bhaskar & Eric van Damme, 1998. "Moral Hazard and Private Monitoring," Game Theory and Information 9809004, EconWPA. [Downloadable!]
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  6. Michihiro Kandori, 1999. "Check Your Partners' Behavior by Randomization: New Efficiency Results on Repeated Games with Imperfect Monitoring," CIRJE F-Series CIRJE-F-45, CIRJE, Faculty of Economics, University of Tokyo. [Downloadable!]
  7. Massimiliano Amarante, 2002. "Recursive structure and equilibria in games with private monitoring," Discussion Papers 0102-48, Columbia University, Department of Economics. [Downloadable!]
  8. V. Bhaskar & Ichiro Obara, 2000. "Belief-Based Equilibria in the Repeated Prisoners' Dilemma with Private Monitoring," Econometric Society World Congress 2000 Contributed Papers 1330, Econometric Society. [Downloadable!]
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  9. repec:att:wimass:19199818 is not listed on IDEAS
  10. Jeffrey Ely, 2000. "A Robust Folk Theorem for the Prisoners' Dilemma," Econometric Society World Congress 2000 Contributed Papers 0210, Econometric Society. [Downloadable!]
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