IDEAS home Printed from https://ideas.repec.org/a/ses/arsjes/2001-i-6.html
   My bibliography  Save this article

Evaluating the validity of stated-preference estimates of health values

Author

Listed:
  • F. Reed Johnson
  • Matthew F. Bingham

Abstract

Economists have long been faced with the challenge of valuing goods and services that are not traded in markets. A variety of multiple-response stated-preference (SP) methods, which evolved independently in the area of consumer market research, also have been applied to nonmarket-valuation problems such as health-state value measurements. Unfortunately, distortions of the essential supply-demand relationships in such markets make it difficult to verify the validity of SP surveys using market data. However, because SP data include multiple observations for each respondent, it is possible to test a variety of hypotheses about consistency with welfare-theoretic principles and the use of judgment heuristics and learning and fatigue effects. This paper provides some results from two SP surveys eliciting health-state valuations. It focuses on the economic consistency of stated preferences. We show that with a few exceptions, subjects' stated preferences generally agree with welfare-theoretic requirements.

Suggested Citation

  • F. Reed Johnson & Matthew F. Bingham, 2001. "Evaluating the validity of stated-preference estimates of health values," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 137(I), pages 49-63, March.
  • Handle: RePEc:ses:arsjes:2001-i-6
    as

    Download full text from publisher

    File URL: http://www.sjes.ch/papers/2001-I-6.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mandy Ryan & Jenny Hughes, 1997. "Using Conjoint Analysis to Assess Women's Preferences for Miscarriage Management," Health Economics, John Wiley & Sons, Ltd., vol. 6(3), pages 261-273, May.
    2. 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.
    3. Johnson, F. Reed & Desvousges, William H., 1997. "Estimating Stated Preferences with Rated-Pair Data: Environmental, Health, and Employment Effects of Energy Programs," Journal of Environmental Economics and Management, Elsevier, vol. 34(1), pages 79-99, September.
    4. Kip Viscusi, W. & Magat, Wesley A. & Huber, Joel, 1991. "Pricing environmental health risks: survey assessments of risk-risk and risk-dollar trade-offs for chronic bronchitis," Journal of Environmental Economics and Management, Elsevier, vol. 21(1), pages 32-51, July.
    5. Stirling Bryan & Martin Buxton & Robert Sheldon & Alison Grant, 1998. "Magnetic resonance imaging for the investigation of knee injuries: an investigation of preferences," Health Economics, John Wiley & Sons, Ltd., vol. 7(7), pages 595-603, November.
    6. Huber, Joel & Klein, Noreen M, 1991. "Adapting Cutoffs to the Choice Environment: The Effects of Attribute Correlation and Reliability," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 18(3), pages 346-357, December.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Gabriela D. Oliveira & Luis C. Dias, 2020. "The potential learning effect of a MCDA approach on consumer preferences for alternative fuel vehicles," Annals of Operations Research, Springer, vol. 293(2), pages 767-787, October.

    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. 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.
    2. Emma McIntosh, 2006. "Using Discrete Choice Experiments within a Cost-Benefit Analysis Framework," PharmacoEconomics, Springer, vol. 24(9), pages 855-868, September.
    3. 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.
    4. Kara Hanson & Barbara McPake & Pamela Nakamba & Luke Archard, 2005. "Preferences for hospital quality in Zambia: results from a discrete choice experiment," Health Economics, John Wiley & Sons, Ltd., vol. 14(7), pages 687-701, July.
    5. Özdemir, Semra & Johnson, F. Reed & Hauber, A. Brett, 2009. "Hypothetical bias, cheap talk, and stated willingness to pay for health care," Journal of Health Economics, Elsevier, vol. 28(4), pages 894-901, July.
    6. Joanna Coast & Hareth Al‐Janabi & Eileen J. Sutton & Susan A. Horrocks & A. Jane Vosper & Dawn R. Swancutt & Terry N. Flynn, 2012. "Using qualitative methods for attribute development for discrete choice experiments: issues and recommendations," Health Economics, John Wiley & Sons, Ltd., vol. 21(6), pages 730-741, June.
    7. Joachim Marti, 2012. "Assessing preferences for improved smoking cessation medications: a discrete choice experiment," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(5), pages 533-548, October.
    8. Richard D. Smith, 2003. "Construction of the contingent valuation market in health care:a critical assessment," Health Economics, John Wiley & Sons, Ltd., vol. 12(8), pages 609-628, August.
    9. Peter Zweifel & Harry Telser & Stephan Vaterlaus, 2006. "Consumer Resistance Against Regulation: The Case of Health Care," Journal of Regulatory Economics, Springer, vol. 29(3), pages 319-332, May.
    10. F Alpizar & F Carlsson & P Martinsson, 2003. "Using Choice Experiments for Non-Market Valuation," Economic Issues Journal Articles, Economic Issues, vol. 8(1), pages 83-110, March.
    11. Andrew J Lloyd, 2003. "Threats to the estimation of benefit: are preference elicitation methods accurate?," Health Economics, John Wiley & Sons, Ltd., vol. 12(5), pages 393-402, May.
    12. Mandy Ryan & Mabelle Amaya‐Amaya, 2005. "‘Threats’ to and hopes for estimating benefits," Health Economics, John Wiley & Sons, Ltd., vol. 14(6), pages 609-619, June.
    13. Mandy Ryan & Angela Bate, 2001. "Testing the assumptions of rationality, continuity and symmetry when applying discrete choice experiments in health care," Applied Economics Letters, Taylor & Francis Journals, vol. 8(1), pages 59-63.
    14. 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.
    15. Longo, Alberto & Markandya, Anil & Petrucci, Marta, 2008. "The internalization of externalities in the production of electricity: Willingness to pay for the attributes of a policy for renewable energy," Ecological Economics, Elsevier, vol. 67(1), pages 140-152, August.
    16. Cameron, Trudy Ann & DeShazo, J.R., 2013. "Demand for health risk reductions," Journal of Environmental Economics and Management, Elsevier, vol. 65(1), pages 87-109.
    17. repec:cup:judgdm:v:3:y:2008:i::p:162-173 is not listed on IDEAS
    18. Ryan, Mandy & Netten, Ann & Skatun, Diane & Smith, Paul, 2006. "Using discrete choice experiments to estimate a preference-based measure of outcome--An application to social care for older people," Journal of Health Economics, Elsevier, vol. 25(5), pages 927-944, September.
    19. Kaur, S. & Pollitt, M. G., 2024. "Using rewards and penalties to incentivize energy and water saving behaviour in agriculture – Evidence from a choice experiment in Punjab," Cambridge Working Papers in Economics 2434, Faculty of Economics, University of Cambridge.
    20. Axel Mühlbacher & Uwe Junker & Christin Juhnke & Edgar Stemmler & Thomas Kohlmann & Friedhelm Leverkus & Matthias Nübling, 2015. "Chronic pain patients’ treatment preferences: a discrete-choice experiment," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(6), pages 613-628, July.
    21. Emily Lancsar & Jordan Louviere, 2006. "Deleting ‘irrational’ responses from discrete choice experiments: a case of investigating or imposing preferences?," Health Economics, John Wiley & Sons, Ltd., vol. 15(8), pages 797-811, August.

    More about this item

    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:ses:arsjes:2001-i-6. 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: Kurt Schmidheiny (email available below). General contact details of provider: https://edirc.repec.org/data/sgvssea.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.