IDEAS home Printed from https://ideas.repec.org/a/spr/joecth/v80y2025i1d10.1007_s00199-024-01618-0.html
   My bibliography  Save this article

Rationally misplaced confidence

Author

Listed:
  • Derek Lemoine

    (Department of Economics, University of Arizona, NBER, and CEPR)

Abstract

I show that persistent underconfidence and overconfidence can each arise from rational Bayesian learning when effort and ability are complementary. Which arises depends on the decision-making environment, and in particular on the effect that greater effort has on the variance of outcomes. Agents learn away overconfidence and underconfidence at asymmetric rates because (i) Bayesian updating requires that their sensitivity to new information depend on their effort choices and (ii) their effort choices in turn depend on beliefs about their own ability. As one implication, I show that management can credibly induce additional effort from employees by designing feedback that generates average overconfidence through being conditionally vague.

Suggested Citation

  • Derek Lemoine, 2025. "Rationally misplaced confidence," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 80(1), pages 1-38, August.
  • Handle: RePEc:spr:joecth:v:80:y:2025:i:1:d:10.1007_s00199-024-01618-0
    DOI: 10.1007/s00199-024-01618-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00199-024-01618-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s00199-024-01618-0?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 search for a different version of it.

    More about this item

    Keywords

    Learning; Effort; Confidence; Ability; Talent; Feedback; Appraisals;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets
    • M54 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Labor Management

    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:spr:joecth:v:80:y:2025:i:1:d:10.1007_s00199-024-01618-0. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.