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The Impact of Monitoring in Infinitely Repeated Games: Perfect, Public, and Private

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  • Masaki Aoyagi
  • V. Bhaskar
  • Guillaume R. Frechette

Abstract

This paper uses a laboratory experiment to study the effect of a monitoring structure on the play of the infinitely repeated prisoner's dilemma. Keeping the stage game fixed, we examine the behavior of subjects when information about past actions is perfect (perfect monitoring), noisy but public (public monitoring), and noisy and private (private monitoring). We find that the subjects sustain cooperation in every treatment, but that their strategies differ substantially in the three treatments. Specifically, we observe that the strategies are more complex under public and private monitoring than under perfect monitoring. We also find that the strategies under private monitoring are more lenient than under perfect monitoring, and less forgiving than under public monitoring.

Suggested Citation

  • Masaki Aoyagi & V. Bhaskar & Guillaume R. Frechette, 2015. "The Impact of Monitoring in Infinitely Repeated Games: Perfect, Public, and Private," ISER Discussion Paper 0942, Institute of Social and Economic Research, Osaka University.
  • Handle: RePEc:dpr:wpaper:0942
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    Cited by:

    1. Gallo, Edoardo & Riyanto, Yohanes E. & Roy, Nilanjan & Teh, Tat-How, 2019. "Cooperation in an Uncertain and Dynamic World," MPRA Paper 97878, University Library of Munich, Germany.
    2. Yutaka Kayaba & Hitoshi Matsushima & Tomohisa Toyama, 2016. "Accuracy and Retaliation in Repeated Games with Imperfect Private Monitoring:Experiments and Theory," CIRJE F-Series CIRJE-F-1004, CIRJE, Faculty of Economics, University of Tokyo.
    3. Rand, David G. & Fudenberg, Drew & Dreber, Anna, 2015. "It's the thought that counts: The role of intentions in noisy repeated games," Journal of Economic Behavior & Organization, Elsevier, vol. 116(C), pages 481-499.
    4. Freitag, Andreas & Roux, Catherine & Thöni, Christian, 2019. "Communication and Market Sharing: An Experiment on the Exchange of Soft and Hard Information," Working papers 2019/23, Faculty of Business and Economics - University of Basel.
    5. Fabian Dvorak & Sebastian Fehrler, 2018. "Negotiating Cooperation Under Uncertainty: Communication in Noisy, Indefinitely Repeated Interactions," TWI Research Paper Series 112, Thurgauer Wirtschaftsinstitut, Universität Konstanz.
    6. Thomas Markussen & Louis Putterman & Liangjun Wang, 2017. "Governing Collective Action in the Face of Observational Error," Working Papers 2017-2, Brown University, Department of Economics.
    7. Cason, Timothy N. & Mui, Vai-Lam, 2019. "Individual versus group choices of repeated game strategies: A strategy method approach," Games and Economic Behavior, Elsevier, vol. 114(C), pages 128-145.
    8. James R. Bland, 2020. "Heterogeneous trembles and model selection in the strategy frequency estimation method," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 6(2), pages 113-124, December.
    9. Kayaba, Yutaka & Matsushima, Hitoshi & Toyama, Tomohisa, 2020. "Accuracy and retaliation in repeated games with imperfect private monitoring: Experiments," Games and Economic Behavior, Elsevier, vol. 120(C), pages 193-208.
    10. Kurokawa, Shun & Zheng, Xiudeng & Tao, Yi, 2019. "Cooperation evolves more when players keep the interaction with unknown players," Applied Mathematics and Computation, Elsevier, vol. 350(C), pages 209-216.
    11. Yutaka Kayaba & Hitoshi Matsushima & Tomohisa Toyama, 2017. "Accuracy and Retaliation in Repeated Games with Imperfect Private Monitoring: Experiments and Theory (Revised version of F-381)," CARF F-Series CARF-F-414, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    12. Romero, Julian & Rosokha, Yaroslav, 2018. "Constructing strategies in the indefinitely repeated prisoner’s dilemma game," European Economic Review, Elsevier, vol. 104(C), pages 185-219.
    13. KAYABA, Yutaka & MATSUSHIMA, Hitoshi & TOYAMA, Tomohisa, 2016. "Accuracy and Retaliation in Repeated Games with Imperfect Private Monitoring: Experiments and Theory," Discussion paper series HIAS-E-23, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    14. Dvorak, Fabian & Fehrler, Sebastian, 2018. "Negotiating Cooperation under Uncertainty: Communication in Noisy, Indefinitely Repeated Interactions," IZA Discussion Papers 11897, Institute of Labor Economics (IZA).
    15. Yutaka Kayaba & Hitoshi Matsushima & Tomohisa Toyama, 2019. "Accuracy and Retaliation in Repeated Games with Imperfect Private Monitoring: Experiments (Revised version of CARF-F-433)," CARF F-Series CARF-F-466, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.

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    More about this item

    JEL classification:

    • 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
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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