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Repeated games with asynchronous monitoring of an imperfect signal

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  • Fudenberg, Drew
  • Olszewski, Wojciech

Abstract

We consider a long-run player facing a sequence of short-run opponents who receive noisy signals of the long-run player's past actions. We modify the standard, synchronous-action, model by supposing that players observe an underlying public signal of the opponent's actions at random and privately known times. In one modification, the public signals are Poisson events and either the observations occur within a small epsilon time interval or the observations have exponential waiting times. In the second modification, the underlying signal is the position of a diffusion process. We show that in the Poisson cases the high-frequency limit is the same as in the (Fudenberg and Levine, 2007) and (Fudenberg and Levine, 2009) study of limits of high-frequency public signals, but that the limits can differ when the signals correspond to a diffusion.

Suggested Citation

  • Fudenberg, Drew & Olszewski, Wojciech, 2011. "Repeated games with asynchronous monitoring of an imperfect signal," Games and Economic Behavior, Elsevier, vol. 72(1), pages 86-99, May.
  • Handle: RePEc:eee:gamebe:v:72:y:2011:i:1:p:86-99
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    References listed on IDEAS

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    1. Yamamoto, Yuichi, 2009. "A limit characterization of belief-free equilibrium payoffs in repeated games," Journal of Economic Theory, Elsevier, vol. 144(2), pages 802-824, March.
    2. Drew Fudenberg & David K. Levine, 2008. "Continuous time limits of repeated games with imperfect public monitoring," World Scientific Book Chapters, in: Drew Fudenberg & David K Levine (ed.), A Long-Run Collaboration On Long-Run Games, chapter 17, pages 369-388, World Scientific Publishing Co. Pte. Ltd..
    3. Mailath, George J. & Morris, Stephen, 2002. "Repeated Games with Almost-Public Monitoring," Journal of Economic Theory, Elsevier, vol. 102(1), pages 189-228, January.
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    Cited by:

    1. Sugaya, Takuo & Takahashi, Satoru, 2013. "Coordination failure in repeated games with private monitoring," Journal of Economic Theory, Elsevier, vol. 148(5), pages 1891-1928.
    2. Osório António M., 2012. "A Folk Theorem for Games when Frequent Monitoring Decreases Noise," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 12(1), pages 1-27, April.
    3. Osório Costa, Antonio Miguel, 2012. "The Limits of Discrete Time Repeated Games:Some Notes and Comments," Working Papers 2072/203171, Universitat Rovira i Virgili, Department of Economics.
    4. Morris, Stephen, 2014. "Coordination, timing and common knowledge," Research in Economics, Elsevier, vol. 68(4), pages 306-314.
    5. Osório, António (António Miguel), 2015. "Brownian Signals: Information Quality, Quantity and Timing in Repeated Games," Working Papers 2072/260962, Universitat Rovira i Virgili, Department of Economics.
    6. Fudenberg, Drew & Ishii, Yuhta & Kominers, Scott Duke, 2014. "Delayed-response strategies in repeated games with observation lags," Journal of Economic Theory, Elsevier, vol. 150(C), pages 487-514.
    7. Osório, António (António Miguel), 2015. "Some Notes and Comments on the Efficient use of Information in Repeated Games with Poisson Signals," Working Papers 2072/249233, Universitat Rovira i Virgili, Department of Economics.
    8. António Osório, 2018. "Brownian Signals: Information Quality, Quantity and Timing in Repeated Games," Computational Economics, Springer;Society for Computational Economics, vol. 52(2), pages 387-404, August.

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