IDEAS home Printed from https://ideas.repec.org/a/wly/emetrp/v92y2024i1p1-27.html
   My bibliography  Save this article

Learning in Repeated Interactions on Networks

Author

Listed:
  • Wanying Huang
  • Philipp Strack
  • Omer Tamuz

Abstract

We study how long‐lived, rational agents learn in a social network. In every period, after observing the past actions of his neighbors, each agent receives a private signal, and chooses an action whose payoff depends only on the state. Since equilibrium actions depend on higher‐order beliefs, it is difficult to characterize behavior. Nevertheless, we show that regardless of the size and shape of the network, the utility function, and the patience of the agents, the speed of learning in any equilibrium is bounded from above by a constant that only depends on the private signal distribution.

Suggested Citation

  • Wanying Huang & Philipp Strack & Omer Tamuz, 2024. "Learning in Repeated Interactions on Networks," Econometrica, Econometric Society, vol. 92(1), pages 1-27, January.
    • Handle: RePEc:wly:emetrp:v:92:y:2024:i:1:p:1-27
    DOI: 10.3982/ECTA20806
    as

    Download full text from publisher

    File URL: https://doi.org/10.3982/ECTA20806
    Download Restriction: no
    File URL: https://libkey.io/10.3982/ECTA20806?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Marco Ottaviani & Giuseppe Moscarini & Lones Smith, 1998. "Social learning in a changing world," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 11(3), pages 657-665.
    2. Xavier Vives, 1993. "How Fast do Rational Agents Learn?," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(2), pages 329-347.
    3. Heidhues, Paul & Rady, Sven & Strack, Philipp, 2015. "Strategic experimentation with private payoffs," Journal of Economic Theory, Elsevier, vol. 159(PA), pages 531-551.
    4. Itai Arieli & Yakov Babichenko & Stephan Muller & Farzad Pourbabaee & Omer Tamuz, 2023. "The Hazards and Benefits of Condescension in Social Learning," Papers 2301.11237, arXiv.org, revised Feb 2024.
    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. Celen, Bogachan & Hyndman, Kyle, 2006. "Endogenous Network Formation In the Laboratory," MPRA Paper 1440, University Library of Munich, Germany.
    2. Wanying Huang & Philipp Strack & Omer Tamuz, 2021. "Learning in Repeated Interactions on Networks," Papers 2112.14265, arXiv.org, revised Jul 2024.
    3. Dominic Rohner & Anna Winestein & Bruno S. Frey, 2006. "Ich bin auch ein Lemming: Herding and Consumption Capital in Arts and Culture," CREMA Working Paper Series 2006-05, Center for Research in Economics, Management and the Arts (CREMA).
    4. Hirshleifer, David & Teoh, Siew Hong, 2008. "Thought and Behavior Contagion in Capital Markets," MPRA Paper 9164, University Library of Munich, Germany.
    5. Rüdiger, Jesper & Vigier, Adrien, 2019. "Learning about analysts," Journal of Economic Theory, Elsevier, vol. 180(C), pages 304-335.
    6. David Hirshleifer & Siew Hong Teoh, 2003. "Herd Behaviour and Cascading in Capital Markets: a Review and Synthesis," European Financial Management, European Financial Management Association, vol. 9(1), pages 25-66, March.
    7. George-Marios Angeletos & Alessandro Pavan, 2009. "Policy with Dispersed Information," Journal of the European Economic Association, MIT Press, vol. 7(1), pages 11-60, March.
    8. Johannes Hörner & Nicolas Klein & Sven Rady, 2022. "Overcoming Free-Riding in Bandit Games," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(4), pages 1948-1992.
    9. Keller, Godfrey & Novák, Vladimír & Willems, Tim, 2019. "A note on optimal experimentation under risk aversion," Journal of Economic Theory, Elsevier, vol. 179(C), pages 476-487.
    10. Marcello Miccoli, 2012. "Optimal dynamic public communication," Temi di discussione (Economic working papers) 856, Bank of Italy, Economic Research and International Relations Area.
    11. Kaustav Das, 2014. "Strategic Experimentation with Competition and Private Arrival of Information," Discussion Papers 1404, University of Exeter, Department of Economics.
    12. Dosis, Anastasios & Muthoo, Abhinay, 2019. "Experimentation in Dynamic R&D Competition," CRETA Online Discussion Paper Series 52, Centre for Research in Economic Theory and its Applications CRETA.
    13. Michele Berardi, 2021. "Learning from prices: information aggregation and accumulation in an asset market," Annals of Finance, Springer, vol. 17(1), pages 45-77, March.
    14. Luca Anderlini & Dino Gerardi & Roger Lagunoff, 2012. "Communication and Learning," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(2), pages 419-450.
    15. Jean-Michel Grandmont, 1998. "Expectations Formation and Stability of Large Socioeconomic Systems," Econometrica, Econometric Society, vol. 66(4), pages 741-782, July.
    16. David Hirshleifer & Ivo Welch, 2002. "An Economic Approach to the Psychology of Change: Amnesia, Inertia, and Impulsiveness," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 11(3), pages 379-421, September.
    17. Wenjie Dai & Xin Wang & Zengru Di & Jinshan Wu, 2014. "Logical Gaps in the Approximate Solutions of the Social Learning Game and an Exact Solution," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-18, December.
    18. Manuel Amador & Pierre-Olivier Weill, 2010. "Learning from Prices: Public Communication and Welfare," Journal of Political Economy, University of Chicago Press, vol. 118(5), pages 866-907.
    19. Goldstein, Itay & Ozdenoren, Emre & Yuan, Kathy, 2013. "Trading frenzies and their impact on real investment," Journal of Financial Economics, Elsevier, vol. 109(2), pages 566-582.
    20. Lei Wu & Kuan Xu & Qingbin Meng, 2021. "Information flow and price discovery dynamics," Review of Quantitative Finance and Accounting, Springer, vol. 56(1), pages 329-367, January.

    More about this item

    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:wly:emetrp:v:92:y:2024:i:1:p:1-27. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/essssea.html .

    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.