IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this article

Multiattribute Risky Choice Behavior: The Editing of Complex Prospects

Listed author(s):
  • John W. Payne

    (Fuqua School of Business, Duke University, Durham, North Carolina 27706)

  • Dan J. Laughhunn

    (Center for International Economic and Business Studies, University of Florida, Gainesville, Florida 32605)

  • Roy Crum

    (Center for International Economic and Business Studies, University of Florida, Gainesville, Florida 32605)

Registered author(s):

    This investigation draws upon concepts from prospect theory (Kahneman and Tversky [Kahneman, D., A. Tversky. 1979. Prospect theory: an analysis of decisions under risk. Econometrica 47 263--291.]) and multiattribute utility theory (Keeney and Raiffa [Keeney, R. L., H. Raiffa. 1976. Decisions with Multiple Objectives: Preferences and Value Tradeoffs. Wiley, New York.]) in an examination of the multiattribute risky choice behavior of 128 managers. The questions of how managers edit multiattribute prospects and how editing relates to various independence assumptions were explored. The major result is that managers appear to violate attribute independence in its general form, and especially in the form of the marginality assumption. The most common form of behavior observed was multiattribute risk aversion for prospects involving only gains and multiattribute risk seeking for prospects involving only losses. This result reinforces the importance of a target, reference point, or aspiration level that has been found in earlier studies of single attribute risky choice. Furthermore, the result casts doubt on such commonly used multiattribute utility functions as the additive, multiplicative, and multilinear forms. The implications of the results for the development of multiattribute risky decision aids are discussed.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    Download Restriction: no

    Article provided by INFORMS in its journal Management Science.

    Volume (Year): 30 (1984)
    Issue (Month): 11 (November)
    Pages: 1350-1361

    in new window

    Handle: RePEc:inm:ormnsc:v:30:y:1984:i:11:p:1350-1361
    Contact details of provider: Postal:
    7240 Parkway Drive, Suite 300, Hanover, MD 21076 USA

    Phone: +1-443-757-3500
    Fax: 443-757-3515
    Web page:

    More information through EDIRC

    No references listed on IDEAS
    You can help add them by filling out this form.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:inm:ormnsc:v:30:y:1984:i:11:p:1350-1361. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mirko Janc)

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.