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Eliciting Stated Health Preferences

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  • F. Reed Johnson
  • William H. Desvousges
  • Melissa C. Ruby
  • David Stieb
  • Paul De Civita

Abstract

The economic analysis of many health policies requires evaluation of the benefits of programs that may prolong human lives. This article contributes to the development of credible values for longevity, demonstrating the feasibility of applying stated-pref erence market-research techniques to a new area of preference revelation and framing the problem as extending longevity under realistic health states associated with ad vanced age. Respondents to the authors' stated-preference survey clearly indicated that quality of life affects the value of quantity of life. The results demonstrate the sensitivity of life-extension values to specific health and activity-limitation conditions. The article also discusses problems that remain to be solved before valid and reliable longevity values can be obtained. Key words: health preference elicitation; longevity; willingness to pay; market research; quality of life; policy. (Med Decis Making 1998; 18 suppl:S57-S67)

Suggested Citation

  • F. Reed Johnson & William H. Desvousges & Melissa C. Ruby & David Stieb & Paul De Civita, 1998. "Eliciting Stated Health Preferences," Medical Decision Making, , vol. 18(2_suppl), pages 57-67, April.
    • Handle: RePEc:sae:medema:v:18:y:1998:i:2_suppl:p:s57-s67
    DOI: 10.1177/0272989X98018002S08
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Arthur E. Attema & Marieke Krol & Job Exel & Werner B. F. Brouwer, 2018. "New findings from the time trade-off for income approach to elicit willingness to pay for a quality adjusted life year," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(2), pages 277-291, March.
    2. Semra Özdemir & Ateesha F. Mohamed & F. Reed Johnson & A. Brett Hauber, 2010. "Who pays attention in stated‐choice surveys?," Health Economics, John Wiley & Sons, Ltd., vol. 19(1), pages 111-118, January.
    3. Johnson, F. Reed & Ozdemir, Semra & Phillips, Kathryn A., 2010. "Effects of simplifying choice tasks on estimates of taste heterogeneity in stated-choice surveys," Social Science & Medicine, Elsevier, vol. 70(2), pages 183-190, January.
    4. Strand.J., 2001. "Public- and private-good values of statistical lives : results from a combined choice-experiment and contingent-valuation survey," Memorandum 31/2001, Oslo University, Department of Economics.
    5. F. Reed Johnson & Melissa Ruby Banzhaf & William H. Desvousges, 2000. "Willingness to pay for improved respiratory and cardiovascular health: a multiple‐format, stated‐preference approach," Health Economics, John Wiley & Sons, Ltd., vol. 9(4), pages 295-317, June.
    6. Tilling, C & Krol, M & Tsuchiya, A & Brazier, J & van Exel, J & Brouwer, W, 2009. "Measuring the value of life: exploring a new method for deriving the monetary value of a QALY," MPRA Paper 29911, University Library of Munich, Germany.
    7. Spencer Banzhaf, H. & Burtraw, Dallas & Palmer, Karen, 2004. "Efficient emission fees in the US electricity sector," Resource and Energy Economics, Elsevier, vol. 26(3), pages 317-341, September.
    8. Emily Lancsar, 2002. "Deriving welfare measures from stated preference discrete choice modelling experiments, CHERE Discussion Paper No 48," Discussion Papers 48, CHERE, University of Technology, Sydney.
    9. Zhang, Jing & Reed Johnson, F. & Mohamed, Ateesha F. & Hauber, A. Brett, 2015. "Too many attributes: A test of the validity of combining discrete-choice and best–worst scaling data," Journal of choice modelling, Elsevier, vol. 15(C), pages 1-13.
    10. Palmer, Karen L. & Burtraw, Dallas & Shih, Jhih-Shyang, 2005. "Reducing Emissions from the Electricity Sector: The Costs and Benefits Nationwide and in the Empire State," Discussion Papers 10484, Resources for the Future.
    11. Yang, Jui-Chen & Johnson, F. Reed & Kilambi, Vikram & Mohamed, Ateesha F., 2015. "Sample size and utility-difference precision in discrete-choice experiments: A meta-simulation approach," Journal of choice modelling, Elsevier, vol. 16(C), pages 50-57.
    12. Patrick Hofstetter & James K. Hammitt, 2002. "Selecting Human Health Metrics for Environmental Decision‐Support Tools," Risk Analysis, John Wiley & Sons, vol. 22(5), pages 965-983, October.
    13. De La Maza, Cristóbal & Davis, Alex & Azevedo, Inês, 2021. "Welfare analysis of the ecological impacts of electricity production in Chile using the sparse multinomial logit model," Ecological Economics, Elsevier, vol. 184(C).
    14. Tara Maddala & Kathryn A. Phillips & F. Reed Johnson, 2003. "An experiment on simplifying conjoint analysis designs for measuring preferences," Health Economics, John Wiley & Sons, Ltd., vol. 12(12), pages 1035-1047, December.
    15. Emma McIntosh, 2006. "Using Discrete Choice Experiments within a Cost-Benefit Analysis Framework," PharmacoEconomics, Springer, vol. 24(9), pages 855-868, September.
    16. Emily Lancsar & Elizabeth Savage, 2004. "Deriving welfare measures from discrete choice experiments: inconsistency between current methods and random utility and welfare theory," Health Economics, John Wiley & Sons, Ltd., vol. 13(9), pages 901-907, September.

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