IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-00609195.html
   My bibliography  Save this paper

The distortion of information to support an emerging evaluation of risk

Author

Listed:
  • Kevyn Yong

    (GREGH - Groupement de Recherche et d'Etudes en Gestion à HEC - HEC Paris - Ecole des Hautes Etudes Commerciales - CNRS - Centre National de la Recherche Scientifique)

  • J. E. Russo

Abstract

A persistent problem in the assessment of the risk of an event is a bias driven by the desirability of different outcomes. However, such a desirability bias should not occur in the absence of prior dispositions toward those outcomes. This assumption is tested in an experiment designed to track the evaluation of information during an emerging evaluation of risk. Results confirm the presence of a substantial desirability bias even when there is no prior disposition toward any outcome. These findings bear implications for the assessment of risk not only in the presence of prior desirability, but also in situations currently considered benign.

Suggested Citation

  • Kevyn Yong & J. E. Russo, 2011. "The distortion of information to support an emerging evaluation of risk," Post-Print hal-00609195, HAL.
    • Handle: RePEc:hal:journl:hal-00609195
    DOI: 10.1016/j.jeconom.2010.07.004
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. DeKay, Michael L. & Miller, Seth A. & Schley, Dan R. & Erford, Breann M., 2014. "Proleader and antitrailer information distortion and their effects on choice and postchoice memory," Organizational Behavior and Human Decision Processes, Elsevier, vol. 125(2), pages 134-150.
    2. Bonaccorsi, Andrea & Apreda, Riccardo & Fantoni, Gualtiero, 2020. "Expert biases in technology foresight. Why they are a problem and how to mitigate them," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    3. Philipp Ecken & Richard Pibernik, 2016. "Hit or Miss: What Leads Experts to Take Advice for Long-Term Judgments?," Management Science, INFORMS, vol. 62(7), pages 2002-2021, July.
    4. repec:cup:judgdm:v:8:y:2013:i:6:p:662-677 is not listed on IDEAS
    5. Seth A. Miller & Michael L. DeKay & Eric R. Stone & Clare M. Sorenson, 2013. "Assessing the sensitivity of information distortion to four potential influences in studies of risky choice," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 8(6), pages 662-677, November.

    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:hal:journl:hal-00609195. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.