IDEAS home Printed from https://ideas.repec.org/a/eee/gamebe/v146y2024icp160-183.html
   My bibliography  Save this article

Belief formation under signal correlation

Author

Listed:
  • Hossain, Tanjim
  • Okui, Ryo

Abstract

This paper demonstrates the importance of considering incorrect perceptions of variance in characterizing people's belief formation rules when they suffer from correlation neglect. Using laboratory experiments, we elicit posterior beliefs regarding the realization of a random variable where some signals that a subject receives are correlated. Subjects in our experiments consistently neglect correlation and also misperceive signal variance when updating their beliefs. We present behavioral models that illustrate how people who suffer from both biases overvalue strongly correlated signals and undervalue weakly correlated signals relative to Bayesian predictions. Additional experiments provide strong support for such a nuanced impact of correlation neglect on belief updating rules. The estimated model parameters are consistent with subjects showing high levels of correlation neglect and undersensitivity to increases in the true variance. Moreover, we find significant heterogeneity across subjects, with a majority exhibiting correlation neglect combined with variance misperception.

Suggested Citation

  • Hossain, Tanjim & Okui, Ryo, 2024. "Belief formation under signal correlation," Games and Economic Behavior, Elsevier, vol. 146(C), pages 160-183.
  • Handle: RePEc:eee:gamebe:v:146:y:2024:i:c:p:160-183
    DOI: 10.1016/j.geb.2024.05.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0899825624000721
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.geb.2024.05.004?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
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    Citations

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


    Cited by:

    1. David Danz & Lise Vesterlund & Alistair J. Wilson, 2020. "Belief Elicitation: Limiting Truth Telling with Information on Incentives," NBER Working Papers 27327, National Bureau of Economic Research, Inc.

    More about this item

    Keywords

    Information processing; Non-Bayesian updating; Correlation neglect; Variance misperception; Belief elicitation;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations

    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:eee:gamebe:v:146:y:2024:i:c:p:160-183. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/622836 .

    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.