IDEAS home Printed from https://ideas.repec.org/a/kap/jrisku/v8y1994i3p223-42.html
   My bibliography  Save this article

Discriminating between Preference Functionals: A Preliminary Monte Carlo Study

Author

Listed:
  • Carbone, Enrica
  • Hey, John D

Abstract

This article is connected with recent attempts to estimate EU and Generalised EU preference functionals using (complete ranking) experimental data and maximum likelihood estimation techniques. In particular, we explore, using Monte Carlo techniques, the power of such procedures in correctly determining the true preference functional. We conclude that several of the more popular generalisations to EU are very difficult to disentangle, and that the techniques are rather poor at correctly identifying EU when it is the correct functional. Copyright 1994 by Kluwer Academic Publishers

Suggested Citation

  • Carbone, Enrica & Hey, John D, 1994. "Discriminating between Preference Functionals: A Preliminary Monte Carlo Study," Journal of Risk and Uncertainty, Springer, vol. 8(3), pages 223-242, May.
    • Handle: RePEc:kap:jrisku:v:8:y:1994:i:3:p:223-42
    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.

    Other versions of this item:

    Citations

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


    Cited by:

    1. David Bruner, 2009. "Changing the probability versus changing the reward," Experimental Economics, Springer;Economic Science Association, vol. 12(4), pages 367-385, December.
    2. John Hey & Enrica Carbone, "undated". "Which Error Theory is Best?," Discussion Papers 99/31, Department of Economics, University of York.
    3. Healy, Paul J. & Park, Hyoeun, 2023. "Model selection accuracy in behavioral game theory: A simulation," European Economic Review, Elsevier, vol. 152(C).
    4. Jakusch, Sven Thorsten & Meyer, Steffen & Hackethal, Andreas, 2019. "Taming models of prospect theory in the wild? Estimation of Vlcek and Hens (2011)," SAFE Working Paper Series 146, Leibniz Institute for Financial Research SAFE, revised 2019.
    5. Jakusch, Sven Thorsten, 2017. "On the applicability of maximum likelihood methods: From experimental to financial data," SAFE Working Paper Series 148, Leibniz Institute for Financial Research SAFE, revised 2017.
    6. Henry Stott, 2006. "Cumulative prospect theory's functional menagerie," Journal of Risk and Uncertainty, Springer, vol. 32(2), pages 101-130, March.
    7. John Hey, 2018. "Comparing Theories: What Are We Looking For?," World Scientific Book Chapters, in: Experiments in Economics Decision Making and Markets, chapter 14, pages 331-352, World Scientific Publishing Co. Pte. Ltd..
    8. David M. Bruner, 2017. "Does decision error decrease with risk aversion?," Experimental Economics, Springer;Economic Science Association, vol. 20(1), pages 259-273, March.
    9. Bertrand Munier, 1995. "Méthodes expérimentales d'évaluation des théories du risque," Revue Économique, Programme National Persée, vol. 46(3), pages 939-949.

    More about this item

    JEL classification:

    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General

    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:kap:jrisku:v:8:y:1994:i:3:p:223-42. 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.