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Informational Smallness and Private Monitoring in Repeated Games

  • Rich McLean
  • Ichiro Obara
  • Andrew Postlewaite

For repeated games with noisy private monitoring and communication, we examine robustness of perfect public equilibrium/subgame perfect equilibrium when private monitoring is "close" to some public monitoring. Private monitoring is "close" to public monitoring if the private signals can generate approxi-mately the same public signal once they are aggregated. Two key notions on private monitoring are introduced: Informational Smallness and Distributional Variability. A player is informationally small if she believes that her signal is likely to have a small impact when private signals are aggregated to generate a public signal. Distributional variability measures the variation in a player’s conditional beliefs over the generated public signal as her private signal varies. When informational size is small relative to distributional variability (and private signals are sufficiently close to public monitoring), a uniformly strict equilibrium with public monitoring remains an equilibrium with private monitoring and communication. To demonstrate that uniform strictness is not overly restrictive, we prove a uniform folk theorem with public monitoring which, combined with our robustness result, yields a new folk theorem for repeated games with private monitoring and communication.

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Paper provided by UCLA Department of Economics in its series Levine's Bibliography with number 784828000000000261.

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Date of creation: 08 Aug 2005
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Handle: RePEc:cla:levrem:784828000000000261
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  1. Olivier Compte, 1998. "Communication in Repeated Games with Imperfect Private Monitoring," Econometrica, Econometric Society, vol. 66(3), pages 597-626, May.
  2. Ben-Porath, E. & Kahneman, M., 1993. "Communication in Repeated Games with Private Monitoring," Papers 15-93, Tel Aviv - the Sackler Institute of Economic Studies.
  3. George J Mailath & Stephen Morris, 1999. "Repeated Games with Almost Public Monitoring," Levine's Working Paper Archive 2107, David K. Levine.
  4. Michihiro Kandori & Ichiro Obara, 2006. "Efficiency in Repeated Games Revisited: The Role of Private Strategies," Econometrica, Econometric Society, vol. 74(2), pages 499-519, 03.
  5. George J Mailath & Stephen Morris, 2006. "Coordination Failure in Repeated Games with Almost-Public Monitoring," Levine's Bibliography 122247000000001105, UCLA Department of Economics.
  6. Fudenberg, Drew & Levine, David, 2007. "The Nash-Threats Folk Theorem with Communication and Approximate Common Knowledge in Two Player Games," Scholarly Articles 3203772, Harvard University Department of Economics.
  7. Fudenberg, Drew & Maskin, Eric, 1986. "The Folk Theorem in Repeated Games with Discounting or with Incomplete Information," Econometrica, Econometric Society, vol. 54(3), pages 533-54, May.
  8. Fudenberg, Drew & Levine, David I & Maskin, Eric, 1994. "The Folk Theorem with Imperfect Public Information," Econometrica, Econometric Society, vol. 62(5), pages 997-1039, September.
  9. Richard McLean & Andrew Postlewaite, . "Informational Size and Incentive Compatibility," CARESS Working Papres 99-14, University of Pennsylvania Center for Analytic Research and Economics in the Social Sciences.
  10. Rubinstein, Ariel, 1979. "Equilibrium in supergames with the overtaking criterion," Journal of Economic Theory, Elsevier, vol. 21(1), pages 1-9, August.
  11. Robert J. Aumann & Lloyd S. Shapley, 1992. "Long Term Competition-A Game Theoretic Analysis," UCLA Economics Working Papers 676, UCLA Department of Economics.
  12. Luca Anderlini & Roger Lagunoff, 2001. " Communication in Dynastic Repeated Games: `Whitewashes' and `Coverups' ," Game Theory and Information 0107001, EconWPA.
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