IDEAS home Printed from https://ideas.repec.org/a/anr/reveco/v14y2022p425-452.html
   My bibliography  Save this article

Misperceptions About Others

Author

Listed:
  • David Y. Yang

    (Department of Economics, Harvard University, Cambridge, Massachusetts, USA)

  • Leonardo Bursztyn

    (Department of Economics, University of Chicago, Chicago, Illinois, USA)

Abstract

Perceptions about others play an important role in shaping people's attitudes and behaviors, as well as social norms more broadly. This review presents a meta-analysis of the recent empirical literature that examines perceptions about others in the field, covering over a million observations for a total of 434 elicited perceptions. We document a number of stylized facts. Misperceptions about others are widespread, asymmetric, much larger when about out-group members, and positively associated with one's own attitudes. Experimental treatments to recalibrate misperceptions generally work as intended; they sometimes lead to meaningful changes in behaviors, though this often occurs only immediately after the treatments. We discuss different conceptual frameworks that could explain the origin, persistence, and rigidity of misperceptions about others. We point to several directions for future research.

Suggested Citation

  • David Y. Yang & Leonardo Bursztyn, 2022. "Misperceptions About Others," Annual Review of Economics, Annual Reviews, vol. 14(1), pages 425-452, August.
  • Handle: RePEc:anr:reveco:v:14:y:2022:p:425-452
    DOI: 10.1146/annurev-economics-051520-023322
    as

    Download full text from publisher

    File URL: https://doi.org/10.1146/annurev-economics-051520-023322
    Download Restriction: Full text downloads are only available to subscribers. Visit the abstract page for more information.

    File URL: https://libkey.io/10.1146/annurev-economics-051520-023322?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:

    More about this item

    Keywords

    beliefs; misperceptions; meta-analysis; information treatment;
    All these keywords.

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • D7 - Microeconomics - - Analysis of Collective Decision-Making
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • D9 - Microeconomics - - Micro-Based Behavioral Economics

    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:anr:reveco:v:14:y:2022:p:425-452. 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: http://www.annualreviews.org (email available below). General contact details of provider: http://www.annualreviews.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.