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Bad reputation with simple rating systems

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  • Lorecchio, Caio
  • Monte, Daniel

Abstract

We consider information censoring through finite memory as a device against bad reputational concerns. Our class of constrained information policies resembles common practices in online reputation systems, on which customers increasingly rely whenever hiring experts. In a world of repeated interactions between a long-lived expert and short-lived customers, Ely and Välimäki (2003) show that unlimited record-keeping may induce the expert to overchoose a certain action, seeking reputational gains. Consequently, welfare may reduce and markets may break down. We show that simple rating systems in such world help overcome market failures and improve upon both the full-memory and the no-memory cases.

Suggested Citation

  • Lorecchio, Caio & Monte, Daniel, 2023. "Bad reputation with simple rating systems," Games and Economic Behavior, Elsevier, vol. 142(C), pages 150-178.
  • Handle: RePEc:eee:gamebe:v:142:y:2023:i:c:p:150-178
    DOI: 10.1016/j.geb.2023.07.019
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    References listed on IDEAS

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    1. Monte, Daniel, 2014. "Learning with bounded memory in games," Games and Economic Behavior, Elsevier, vol. 87(C), pages 204-223.
    2. Emir Kamenica & Matthew Gentzkow, 2011. "Bayesian Persuasion," American Economic Review, American Economic Association, vol. 101(6), pages 2590-2615, October.
    3. Drew Fudenberg & David K. Levine, 2008. "Reputation And Equilibrium Selection In Games With A Patient Player," World Scientific Book Chapters, in: Drew Fudenberg & David K Levine (ed.), A Long-Run Collaboration On Long-Run Games, chapter 7, pages 123-142, World Scientific Publishing Co. Pte. Ltd..
    4. Martin W. Cripps & George J. Mailath & Larry Samuelson, 2004. "Imperfect Monitoring and Impermanent Reputations," Econometrica, Econometric Society, vol. 72(2), pages 407-432, March.
    5. Drew Fudenberg & David K. Levine, 2008. "Maintaining a Reputation when Strategies are Imperfectly Observed," World Scientific Book Chapters, in: Drew Fudenberg & David K Levine (ed.), A Long-Run Collaboration On Long-Run Games, chapter 8, pages 143-161, World Scientific Publishing Co. Pte. Ltd..
    6. 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.
    7. Monte, Daniel, 2013. "Bounded memory and permanent reputations," Journal of Mathematical Economics, Elsevier, vol. 49(5), pages 345-354.
    8. Ekmekci, Mehmet, 2011. "Sustainable reputations with rating systems," Journal of Economic Theory, Elsevier, vol. 146(2), pages 479-503, March.
    9. Georgios Zervas & Davide Proserpio & John W. Byers, 2021. "A first look at online reputation on Airbnb, where every stay is above average," Marketing Letters, Springer, vol. 32(1), pages 1-16, March.
    10. Chrysanthos Dellarocas & Charles A. Wood, 2008. "The Sound of Silence in Online Feedback: Estimating Trading Risks in the Presence of Reporting Bias," Management Science, INFORMS, vol. 54(3), pages 460-476, March.
    11. Robert J. Aumann, 1995. "Repeated Games with Incomplete Information," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262011476, December.
    12. Caio Lorecchio & Daniel Monte, 2023. "Dynamic Information Design under Constrained Communication Rules," American Economic Journal: Microeconomics, American Economic Association, vol. 15(1), pages 359-398, February.
    13. Oliver Compte & Andrew Postlewaite, 2010. "Plausible Cooperation, Fourth Version," PIER Working Paper Archive 15-006, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 23 Jan 2015.
    14. Andrea Wilson, 2014. "Bounded Memory and Biases in Information Processing," Econometrica, Econometric Society, vol. 82, pages 2257-2294, November.
    15. Mailath, George J. & Samuelson, Larry, 2006. "Repeated Games and Reputations: Long-Run Relationships," OUP Catalogue, Oxford University Press, number 9780195300796.
    16. Benjamin Sperisen, 2018. "Bad Reputation Under Bounded And Fading Memory," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 138-157, January.
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    More about this item

    Keywords

    Bad reputation; Rating systems; Bounded rationality;
    All these keywords.

    JEL classification:

    • 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
    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
    • M3 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising

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