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Estimating conditional certainty equivalents using choice-experiment data

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  • Gonzalez, Juan Marcos
  • Brett Hauber, A.
  • Reed Johnson, F.

Abstract

Expected-utility theory is embraced by some researchers because of its theoretical and empirical tractability, although empirical testing has exposed systematic behavioral inconsistencies that violate the axiom of independence in the theory. In particular, empirical evidence suggests that people making choices under uncertainty do not have a unique certainty equivalent when single-stage games are turned into multistage games, even if the likelihood of outcomes remains unchanged. We show analytically why a violation of the independence axiom is not inconsistent with random-utility models and data obtained from discrete-choice experiments. Results from a health care application are used to demonstrate the feasibility of estimating certainty-equivalent functions that can be used to test the validity of the independence axiom by modeling data from choice-experiment surveys. Further, we show how estimating certainty-equivalent functions with a simple survival model can also help us understand choice-experiment respondents' implicit perceptions of the likelihood of future outcomes. This information is particularly valuable when only part of the risk details in a multistage game can be provided to respondents who complete a discrete-choice experiment either because the actual risk levels are unknown or because risk levels vary significantly from person to person, neither one of which is uncommon in health applications.

Suggested Citation

  • Gonzalez, Juan Marcos & Brett Hauber, A. & Reed Johnson, F., 2015. "Estimating conditional certainty equivalents using choice-experiment data," Journal of choice modelling, Elsevier, vol. 15(C), pages 14-25.
    • Handle: RePEc:eee:eejocm:v:15:y:2015:i:c:p:14-25
    DOI: 10.1016/j.jocm.2015.05.001
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    References listed on IDEAS

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    1. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    2. Quiggin, John, 1982. "A theory of anticipated utility," Journal of Economic Behavior & Organization, Elsevier, vol. 3(4), pages 323-343, December.
    3. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    4. Paul Koster & Erik T. Verhoef, 2012. "A Rank-dependent Scheduling Model," Journal of Transport Economics and Policy, University of Bath, vol. 46(1), pages 123-138, January.
    5. Machina, Mark J, 1989. "Dynamic Consistency and Non-expected Utility Models of Choice under Uncertainty," Journal of Economic Literature, American Economic Association, vol. 27(4), pages 1622-1668, December.
    6. Shaw, W. Douglass & Woodward, Richard T., 2008. "Why environmental and resource economists should care about non-expected utility models," Resource and Energy Economics, Elsevier, vol. 30(1), pages 66-89, January.
    7. Chris Starmer, 2000. "Developments in Non-expected Utility Theory: The Hunt for a Descriptive Theory of Choice under Risk," Journal of Economic Literature, American Economic Association, vol. 38(2), pages 332-382, June.
    8. Han Bleichrodt & Jose Maria Abellan-Perpiñan & Jose Luis Pinto-Prades & Ildefonso Mendez-Martinez, 2007. "Resolving Inconsistencies in Utility Measurement Under Risk: Tests of Generalizations of Expected Utility," Management Science, INFORMS, vol. 53(3), pages 469-482, March.
    9. Bleichrodt, Han & Quiggin, John, 1997. "Characterizing QALYs under a General Rank Dependent Utility Model," Journal of Risk and Uncertainty, Springer, vol. 15(2), pages 151-165, November.
    Full references (including those not matched with items on IDEAS)

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