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Considering Risk Aversion in Economic Evaluation: A Rank Dependent Approach

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  • Jacob Smith

Abstract

This paper presents a method for incorporating risk aversion into existing decision tree models used in economic evaluations. The method involves applying a probability weighting function based on rank dependent utility theory to reduced lotteries in the decision tree model. This adaptation embodies the fact that different decision makers can observe the same decision tree model structure but come to different conclusions about the optimal treatment. The proposed solution to this problem is to compensate risk-averse decision makers to use the efficient technology that they are reluctant to adopt.

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  • Jacob Smith, 2023. "Considering Risk Aversion in Economic Evaluation: A Rank Dependent Approach," Papers 2311.07905, arXiv.org, revised Jan 2024.
  • Handle: RePEc:arx:papers:2311.07905
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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. Han Bleichrodt & David Crainich & Louis Eeckhoudt & Nicolas Treich, 2020. "Risk aversion and the value of diagnostic tests," Theory and Decision, Springer, vol. 89(2), pages 137-149, September.
    3. Quiggin, John, 1982. "A theory of anticipated utility," Journal of Economic Behavior & Organization, Elsevier, vol. 3(4), pages 323-343, December.
    4. Alejandro Arrieta & Ariadna García‐Prado & Paula González & José Luis Pinto‐Prades, 2017. "Risk attitudes in medical decisions for others: An experimental approach," Health Economics, John Wiley & Sons, Ltd., vol. 26(S3), pages 97-113, December.
    5. Audrey Michel-Lepage & Bruno Ventelou & Antoine Nebout & Pierre Verger & Céline Pulcini, 2013. "Cross-sectional survey: risk-averse French GPs use more rapid-antigen diagnostic tests in tonsillitis in children," Post-Print hal-01500874, HAL.
    6. Louis Eeckhoudt & Philippe Godfroid, 2000. "Risk Aversion and the Value of Information," The Journal of Economic Education, Taylor & Francis Journals, vol. 31(4), pages 382-388, December.
    7. 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..
    8. Torrance, George W., 1986. "Measurement of health state utilities for economic appraisal : A review," Journal of Health Economics, Elsevier, vol. 5(1), pages 1-30, March.
    9. Drummond, Michael F. & Sculpher, Mark J. & Claxton, Karl & Stoddart, Greg L. & Torrance, George W., 2015. "Methods for the Economic Evaluation of Health Care Programmes," OUP Catalogue, Oxford University Press, edition 4, number 9780199665884.
    10. Drummond, Michael F. & Sculpher, Mark J. & Torrance, George W. & O'Brien, Bernie J. & Stoddart, Greg L., 2005. "Methods for the Economic Evaluation of Health Care Programmes," OUP Catalogue, Oxford University Press, edition 3, number 9780198529453.
    11. Sarin, Rakesh & Wakker, Peter P, 1998. "Dynamic Choice and NonExpected Utility," Journal of Risk and Uncertainty, Springer, vol. 17(2), pages 87-119, November.
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