IDEAS home Printed from https://ideas.repec.org/p/shf/wpaper/2005017.html
   My bibliography  Save this paper

Testing models of stochastic choice in health state valuation data

Author

Listed:
  • Paul Dolan
  • Oyeyemi Oluboyede
  • Jennifer Roberts

    (Department of Economics, The University of Sheffield)

Abstract

Expected Utility (EU) theory is the standard economic model of individual preferences under uncertainty. However, observed violations of the axioms of EU have generated interest in the incorporation of a stochastic element into deterministic models of decision-making. Previous empirical investigation of the theories of stochastic choice has involved monetary gambles in risky conditions using convenience samples of students. The aim of this study is to test generalisations of these models in the context of eliciting the preferences of the general public over health states under conditions of certainty. Our findings lend support to the `white noise´ stochastic specification of Hey and Orme (1994) which indicates that the stronger the preferences of an individual, the less likely they are to make a mistake and attach a lower value to their truly preferred alternative. JEL Classification: D0 Key words: Stochastic preferences, utility assessment, expected utility theory.

Suggested Citation

  • Paul Dolan & Oyeyemi Oluboyede & Jennifer Roberts, 2005. "Testing models of stochastic choice in health state valuation data," Working Papers 2005017, The University of Sheffield, Department of Economics, revised Nov 2005.
    • Handle: RePEc:shf:wpaper:2005017
    as

    Download full text from publisher

    File URL: http://www.shef.ac.uk/content/1/c6/03/91/72/SERP2005017.pdf
    File Function: First version, 2005
    Download Restriction: no
    File URL: http://www.shef.ac.uk/content/1/c6/03/91/72/SERP2005017.pdf
    File Function: Revised version, 2005
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. John D. Hey & Chris Orme, 2018. "Investigating Generalizations Of Expected Utility Theory Using Experimental Data," World Scientific Book Chapters, in: Experiments in Economics Decision Making and Markets, chapter 3, pages 63-98, World Scientific Publishing Co. Pte. Ltd..
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Galliera, Arianna, 2018. "Self-selecting random or cumulative pay? A bargaining experiment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 72(C), pages 106-120.
    2. Kerri Brick & Martine Visser & Justine Burns, 2012. "Risk Aversion: Experimental Evidence from South African Fishing Communities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(1), pages 133-152.
    3. Goeree, Jacob K. & Holt, Charles A. & Palfrey, Thomas R., 2002. "Quantal Response Equilibrium and Overbidding in Private-Value Auctions," Journal of Economic Theory, Elsevier, vol. 104(1), pages 247-272, May.
    4. Sarah Jacobson & Ragan Petrie, 2009. "Learning from mistakes: What do inconsistent choices over risk tell us?," Journal of Risk and Uncertainty, Springer, vol. 38(2), pages 143-158, April.
    5. Sophie Massin & Antoine Nebout & Bruno Ventelou, 2018. "Predicting medical practices using various risk attitude measures," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(6), pages 843-860, July.
    6. Lahno, Amrei M. & Serra-Garcia, Marta, 2012. "Peer Effects in Risk Taking," Discussion Papers in Economics 14309, University of Munich, Department of Economics.
    7. Carlos Alós-Ferrer & Georg D. Granic, 2023. "Does choice change preferences? An incentivized test of the mere choice effect," Experimental Economics, Springer;Economic Science Association, vol. 26(3), pages 499-521, July.
    8. Bocqueho, Geraldine & Jacquet, Florence & Reynaud, Arnaud, 2011. "Expected Utility or Prospect Theory Maximizers? Results from a Structural Model based on Field-experiment Data," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114257, European Association of Agricultural Economists.
    9. Emmanuel Kemel & Muriel Travers, 2016. "Comparing attitudes toward time and toward money in experience-based decisions," Theory and Decision, Springer, vol. 80(1), pages 71-100, January.
    10. Omar Al-Ubaydli, 2011. "How Large Looms the Ghost of the Past? State Dependence versus Heterogeneity in Coordination Games," Southern Economic Journal, John Wiley & Sons, vol. 78(2), pages 273-286, October.
    11. Luís Santos-Pinto & Adrian Bruhin & José Mata & Thomas Åstebro, 2015. "Detecting heterogeneous risk attitudes with mixed gambles," Theory and Decision, Springer, vol. 79(4), pages 573-600, December.
    12. Meyer, Andrew G., 2015. "The impacts of elicitation mechanism and reward size on estimated rates of time preference," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 58(C), pages 132-148.
    13. Chetan Dave & Catherine Eckel & Cathleen Johnson & Christian Rojas, 2010. "Eliciting risk preferences: When is simple better?," Journal of Risk and Uncertainty, Springer, vol. 41(3), pages 219-243, December.
    14. Simone Cerreia-Vioglio & David Dillenberger & Pietro Ortoleva & Gil Riella, 2019. "Deliberately Stochastic," American Economic Review, American Economic Association, vol. 109(7), pages 2425-2445, July.
      • Simone Cerreia-Vioglio & David Dillenberger & Pietro Ortoleva & Gil Riella, 2012. "Deliberately Stochastic," PIER Working Paper Archive 17-013, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 25 May 2017.
    15. Syngjoo Choi & Jeongbin Kim & Eungik Lee & Jungmin Lee, 2022. "Probability Weighting and Cognitive Ability," Management Science, INFORMS, vol. 68(7), pages 5201-5215, July.
    16. 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.
    17. Kemal Ozbek, 2024. "Expected utility, independence, and continuity," Theory and Decision, Springer, vol. 97(1), pages 1-22, August.
    18. Thomas Epper & Helga Fehr-Duda & Adrian Bruhin, 2011. "Viewing the future through a warped lens: Why uncertainty generates hyperbolic discounting," Journal of Risk and Uncertainty, Springer, vol. 43(3), pages 169-203, December.
    19. Drichoutis, Andreas & Lusk, Jayson, 2012. "Risk preference elicitation without the confounding effect of probability weighting," MPRA Paper 37762, University Library of Munich, Germany.
    20. Gauriot, Romain & Heger, Stephanie A. & Slonim, Robert, 2020. "Altruism or diminishing marginal utility?," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 24-48.

    More about this item

    Keywords

    Stochastic preferences; utility assessment; expected theory;
    All these keywords.

    JEL classification:

    • D0 - Microeconomics - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:shf:wpaper:2005017. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc 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 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: Mike Crabtree (email available below). General contact details of provider: https://edirc.repec.org/data/desheuk.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.