IDEAS home Printed from https://ideas.repec.org/a/aea/jecper/v38y2024i4p131-54.html
   My bibliography  Save this article

Evaluating Behavioral Incentive Compatibility: Insights from Experiments

Author

Listed:
  • David Danz
  • Lise Vesterlund
  • Alistair J. Wilson

Abstract

Incentive compatibility is core to mechanism design. The success of auctions, matching algorithms, and voting systems all hinge on the ability to select incentives that make it in the individual's interest to reveal their type. But how do we test whether a mechanism that is designed to be incentive compatible is actually so in practice, particularly when faced with boundedly rational agents with nonstandard preferences? We review the many experimental tests that have been designed to assess behavioral incentive compatibility, separating them into two categories: indirect tests that evaluate behavior within the mechanism, and direct tests that assess how participants respond to the mechanism's incentives. Using belief elicitation as a running example, we show that the most popular elicitations are not behaviorally incentive compatible. In fact, the incentives used under these elicitations discourage rather than encourage truthful revelation.

Suggested Citation

  • David Danz & Lise Vesterlund & Alistair J. Wilson, 2024. "Evaluating Behavioral Incentive Compatibility: Insights from Experiments," Journal of Economic Perspectives, American Economic Association, vol. 38(4), pages 131-154, Fall.
  • Handle: RePEc:aea:jecper:v:38:y:2024:i:4:p:131-54
    DOI: 10.1257/jep.38.4.131
    as

    Download full text from publisher

    File URL: https://www.aeaweb.org/doi/10.1257/jep.38.4.131
    Download Restriction: no

    File URL: https://doi.org/10.3886/E209063V1
    Download Restriction: no

    File URL: https://www.aeaweb.org/doi/10.1257/jep.38.4.131.ds
    Download Restriction: no

    File URL: https://libkey.io/10.1257/jep.38.4.131?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
    ---><---

    More about this item

    JEL classification:

    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

    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:aea:jecper:v:38:y:2024:i:4:p:131-54. 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: Michael P. Albert (email available below). General contact details of provider: https://edirc.repec.org/data/aeaaaea.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.