IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2401.00839.html
   My bibliography  Save this paper

Community Enforcement with Endogenous Records

Author

Listed:
  • Harry Pei

Abstract

I study repeated games with anonymous random matching where players endogenously decide whether to disclose signals about their past actions. I establish an-anti folk theorem, that when players are sufficiently long-lived, they will almost always play their dominant actions and will almost never cooperate. When players' expected lifespans are intermediate, they can sustain some cooperation if their actions are substitutes but cannot sustain any cooperation if their actions are complements. Therefore, the maximal level of cooperation a community can sustain is not monotone with respect to its members' expected lifespans and the complementarity of players' actions can undermine their abilities to sustain cooperation.

Suggested Citation

  • Harry Pei, 2024. "Community Enforcement with Endogenous Records," Papers 2401.00839, arXiv.org, revised Jun 2024.
  • Handle: RePEc:arx:papers:2401.00839
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2401.00839
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. V. Bhaskar, 1998. "Informational Constraints and the Overlapping Generations Model: Folk and Anti-Folk Theorems," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(1), pages 135-149.
    2. Chris Nosko & Steven Tadelis, 2015. "The Limits of Reputation in Platform Markets: An Empirical Analysis and Field Experiment," NBER Working Papers 20830, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xu, Xue & Potters, Jan, 2018. "An experiment on cooperation in ongoing organizations," Journal of Economic Behavior & Organization, Elsevier, vol. 147(C), pages 28-40.
    2. Hui, Xiang & Klein, Tobias & Stahl, Konrad, 2022. "Learning from Online Ratings," CEPR Discussion Papers 17006, C.E.P.R. Discussion Papers.
    3. Tobias Gesche, 2022. "Reference‐price shifts and customer antagonism: Evidence from reviews for online auctions," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(3), pages 558-578, August.
    4. M. Narciso, 2022. "The Unreliability of Online Review Mechanisms," Journal of Consumer Policy, Springer, vol. 45(3), pages 349-368, September.
    5. Ely, Jeffrey C. & Valimaki, Juuso, 2002. "A Robust Folk Theorem for the Prisoner's Dilemma," Journal of Economic Theory, Elsevier, vol. 102(1), pages 84-105, January.
    6. Claudia Keser & Maximilian Späth, 2020. "The Value of Bad Ratings: An Experiment on the Impact of Distortions in Reputation Systems," CIRANO Working Papers 2020s-22, CIRANO.
    7. Chiara Farronato & Andrey Fradkin & Bradley J. Larsen & Erik Brynjolfsson, 2024. "Consumer Protection in an Online World: An Analysis of Occupational Licensing," American Economic Journal: Applied Economics, American Economic Association, vol. 16(3), pages 549-579, July.
    8. Vijay Kamble & Nihar Shah & David Marn & Abhay Parekh & Kannan Ramchandran, 2023. "The Square Root Agreement Rule for Incentivizing Truthful Feedback on Online Platforms," Management Science, INFORMS, vol. 69(1), pages 377-403, January.
    9. Theo Offerman & Jan PottersHarry A.A. Verbon & Harry A.A. Verbon, 1999. "Cooperation in an Overlapping Generations Experiment," Tinbergen Institute Discussion Papers 99-019/1, Tinbergen Institute.
    10. Lingfang (Ivy) Li & Steven Tadelis & Xiaolan Zhou, 2020. "Buying reputation as a signal of quality: Evidence from an online marketplace," RAND Journal of Economics, RAND Corporation, vol. 51(4), pages 965-988, December.
    11. Gonzalez-Eiras, Marti­n & Niepelt, Dirk, 2008. "The future of social security," Journal of Monetary Economics, Elsevier, vol. 55(2), pages 197-218, March.
    12. Böheim, René & Hackl, Franz & Hölzl-Leitner, Michael, 2021. "The impact of price adjustment costs on price dispersion in e-commerce," International Journal of Industrial Organization, Elsevier, vol. 77(C).
    13. V. Bhaskar & George J. Mailathy & Stephen Morris, 2009. "A Foundation for Markov Equilibria in Infinite Horizon Perfect Information Games," Levine's Working Paper Archive 814577000000000178, David K. Levine.
    14. Xu, Xue, 2018. "Experiments on cooperation, institutions, and social preferences," Other publications TiSEM d3cf4dba-b0f3-4643-a267-7, Tilburg University, School of Economics and Management.
    15. George-Marios Angeletos & Chen Lian, 2021. "Determinacy without the Taylor Principle," NBER Working Papers 28881, National Bureau of Economic Research, Inc.
    16. Benjamin Sperisen, 2018. "Bad Reputation Under Bounded And Fading Memory," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 138-157, January.
    17. Bhaskar, V. & van Damme, Eric, 2002. "Moral Hazard and Private Monitoring," Journal of Economic Theory, Elsevier, vol. 102(1), pages 16-39, January.
    18. Stanley Reiter, 1999. "Coordination of Economic Activity: An Example," Discussion Papers 1263, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    19. Gesche, Tobias, 2018. "Reference Price Shifts and Customer Antagonism: Evidence from Reviews for Online Auctions," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181650, Verein für Socialpolitik / German Economic Association.
    20. Bhaskar, V. & Obara, Ichiro, 2002. "Belief-Based Equilibria in the Repeated Prisoners' Dilemma with Private Monitoring," Journal of Economic Theory, Elsevier, vol. 102(1), pages 40-69, January.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2401.00839. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.