IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v17y1971i11p672-678.html
   My bibliography  Save this article

A Study of Lexicographic Expected Utility

Author

Listed:
  • Peter C. Fishburn

    (Research Analysis Corporation)

Abstract

A relation L on a set of real vectors a, b, ... is a lexicographic order when a L b if and only if a \ne b and for every j such that b j j there is an i i i . A simple and direct derivation is given for a multidimensional utility function whose lexicographically-ordered expected utility vectors preserve an individual's preference order on a set of probability measures. All but one of Hausner's axioms yield an equivalence on the set of preference intervals, and the resulting bet of equivalence classes is shown to account for the hierarchy in the lexicographic structure. A lexicographic utility representation is noted for the finite-dimensional case. When Hausner's other axiom is added, his theorem for lexicographic linear utility is obtained. This theorem is applied to sets of simple and discrete probability measures.

Suggested Citation

  • Peter C. Fishburn, 1971. "A Study of Lexicographic Expected Utility," Management Science, INFORMS, vol. 17(11), pages 672-678, July.
  • Handle: RePEc:inm:ormnsc:v:17:y:1971:i:11:p:672-678
    DOI: 10.1287/mnsc.17.11.672
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.17.11.672
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.17.11.672?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
    ---><---

    Citations

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


    Cited by:

    1. Kaplanski, Guy & Kroll, Yoram, 2002. "VaR Risk Measures versus Traditional Risk Measures: an Analysis and Survey," MPRA Paper 80070, University Library of Munich, Germany.
    2. Smeele, Nicholas V.R. & Chorus, Caspar G. & Schermer, Maartje H.N. & de Bekker-Grob, Esther W., 2023. "Towards machine learning for moral choice analysis in health economics: A literature review and research agenda," Social Science & Medicine, Elsevier, vol. 326(C).
    3. D. Borie, 2016. "Lexicographic expected utility without completeness," Theory and Decision, Springer, vol. 81(2), pages 167-176, August.
    4. Nakamura, Yutaka, 2002. "Lexicographic quasilinear utility," Journal of Mathematical Economics, Elsevier, vol. 37(3), pages 157-178, May.
    5. Petri, Henrik, 2020. "Lexicographic probabilities and robustness," Games and Economic Behavior, Elsevier, vol. 122(C), pages 426-439.
    6. Russell, Jeffrey Sanford, 2020. "Non-Archimedean preferences over countable lotteries," Journal of Mathematical Economics, Elsevier, vol. 88(C), pages 180-186.
    7. David McCarthy & Kalle Mikkola & Teruji Thomas, 2019. "Aggregation for potentially infinite populations without continuity or completeness," Papers 1911.00872, arXiv.org.
    8. Ulrich Schmidt, 2001. "Lottery Dependent Utility: a Reexamination," Theory and Decision, Springer, vol. 50(1), pages 35-58, February.
    9. Lehmann, Daniel, 2001. "Expected Qualitative Utility Maximization," Games and Economic Behavior, Elsevier, vol. 35(1-2), pages 54-79, April.

    More about this item

    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:inm:ormnsc:v:17:y:1971:i:11:p:672-678. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.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.