IDEAS home Printed from https://ideas.repec.org/a/wly/econjl/v128y2018i611p1509-1530.html
   My bibliography  Save this article

Noisy Introspection in the 11–20 Game

Author

Listed:
  • Jacob K. Goeree
  • Philippos Louis
  • Jingjing Zhang

Abstract

Previous experiments based on the 11–20 game have produced evidence for the level†k model with observed levels of strategic thinking consistently ranging from 0 to 3. Our baseline treatment uses the 11–20 game and replicates previous results. We apply four models of strategic thinking to the baseline†treatment data and use these to predict behaviour and beliefs in five other treatments that employ games with a very similar structure. The best predictive performance is achieved by models that incorporate ‘common knowledge of noise’. A model of noisy introspection, which does so, predicts behaviour remarkably well.

Suggested Citation

  • Jacob K. Goeree & Philippos Louis & Jingjing Zhang, 2018. "Noisy Introspection in the 11–20 Game," Economic Journal, Royal Economic Society, vol. 128(611), pages 1509-1530, June.
  • Handle: RePEc:wly:econjl:v:128:y:2018:i:611:p:1509-1530
    DOI: 10.1111/ecoj.12479
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/ecoj.12479
    Download Restriction: no

    File URL: https://libkey.io/10.1111/ecoj.12479?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hanaki, Nobuyuki & Koriyama, Yukio & Sutan, Angela & Willinger, Marc, 2019. "The strategic environment effect in beauty contest games," Games and Economic Behavior, Elsevier, vol. 113(C), pages 587-610.
    2. Carlos Alós-Ferrer & Johannes Buckenmaier, 2021. "Cognitive sophistication and deliberation times," Experimental Economics, Springer;Economic Science Association, vol. 24(2), pages 558-592, June.
    3. King King Li & Kang Rong, 2018. "Choices in the 11–20 Game: The Role of Risk Aversion," Games, MDPI, vol. 9(3), pages 1-14, July.
    4. Jacob K. Goeree & Philippos Louis, 2021. "M Equilibrium: A Theory of Beliefs and Choices in Games," American Economic Review, American Economic Association, vol. 111(12), pages 4002-4045, December.
    5. Choo, Lawrence C.Y & Kaplan, Todd R., 2014. "Explaining Behavior in the "11-20" Game," MPRA Paper 52808, University Library of Munich, Germany.
    6. Irenaeus Wolff, 2023. "Heuristic Centered-Belief Players," TWI Research Paper Series 128, Thurgauer Wirtschaftsinstitut, Universität Konstanz.
    7. Feng, Jun & Qin, Xiangdong & Wang, Xiaoyuan, 2021. "A Bayesian cognitive hierarchy model with fixed reasoning levels," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 704-723.

    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:econjl:v:128:y:2018:i:611:p:1509-1530. 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.

    We have no bibliographic references for this item. You can help adding them by using 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/resssea.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.