IDEAS home Printed from https://ideas.repec.org/a/spr/aphecp/v18y2020i1d10.1007_s40258-019-00522-2.html
   My bibliography  Save this article

Estimating Attribute-Specific Willingness-to-Pay Values from a Health Care Contingent Valuation Study: A Best–Worst Choice Approach

Author

Listed:
  • Ivan Sever

    (Institute for Tourism)

  • Miroslav Verbič

    (University of Ljubljana
    Institute for Economic Research)

  • Eva Klaric Sever

    (University of Zagreb)

Abstract

Background Willingness-to-pay (WTP) studies frequently use a contingent valuation (CV) method to determine the economic value of a good or service. However, a typical CV study is able to estimate the WTP for a good as a whole, but provides no information about the marginal WTP for different attributes of a good. Objective The aim was to estimate marginal WTP for different attributes of a CV scenario. Methods By using the data from an additional best–worst choice (BWC) experiment, we disaggregated the holistic WTP values for dental care, estimated using the CV method, into attribute-specific WTP values. The study was conducted at the School of Dental Medicine, University of Zagreb, Croatia. Dental school patients were surveyed from March 2016 to January 2017, and their WTP for dental care was estimated using either a CV survey (n = 242), which also included a BWC task, or a discrete choice experiment (DCE) survey (n = 275). Results The largest marginal welfare estimate (€13.5) was obtained for the improvement in treatment explanation, followed by the improvements in staff behavior (€8.1) and waiting time in the office (€7.2), and by the changes in dental care provider (€3.4). These estimates were generally highly similar to the traditional marginal WTP estimates obtained with a traditional multi-profile DCE, after adjusting DCE estimates for non-attendance to the cost attribute. Conclusion Our BWC-CV framework may serve as a valuable alternative for estimating marginal WTP values for health care attributes when the choice behavior of respondents raises concerns for the validity of DCE estimates.

Suggested Citation

  • Ivan Sever & Miroslav Verbič & Eva Klaric Sever, 2020. "Estimating Attribute-Specific Willingness-to-Pay Values from a Health Care Contingent Valuation Study: A Best–Worst Choice Approach," Applied Health Economics and Health Policy, Springer, vol. 18(1), pages 97-107, February.
    • Handle: RePEc:spr:aphecp:v:18:y:2020:i:1:d:10.1007_s40258-019-00522-2
    DOI: 10.1007/s40258-019-00522-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40258-019-00522-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s40258-019-00522-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mandy Ryan & Verity Watson, 2009. "Comparing welfare estimates from payment card contingent valuation and discrete choice experiments," Health Economics, John Wiley & Sons, Ltd., vol. 18(4), pages 389-401, April.
    2. Arne Hole & Julie Kolstad, 2012. "Mixed logit estimation of willingness to pay distributions: a comparison of models in preference and WTP space using data from a health-related choice experiment," Empirical Economics, Springer, vol. 42(2), pages 445-469, April.
    3. Potoglou, Dimitris & Burge, Peter & Flynn, Terry & Netten, Ann & Malley, Juliette & Forder, Julien & Brazier, John E., 2011. "Best-worst scaling vs. discrete choice experiments: An empirical comparison using social care data," Social Science & Medicine, Elsevier, vol. 72(10), pages 1717-1727, May.
    4. Nicolas Krucien & Jonathan Sicsic & Mandy Ryan, 2019. "For better or worse? Investigating the validity of best–worst discrete choice experiments in health," Health Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 572-586, April.
    5. Soto, José R. & Adams, Damian C. & Escobedo, Francisco J., 2016. "Landowner attitudes and willingness to accept compensation from forest carbon offsets: Application of best–worst choice modeling in Florida USA," Forest Policy and Economics, Elsevier, vol. 63(C), pages 35-42.
    6. Nicolas Krucien & Verity Watson & Mandy Ryan, 2017. "Is Best–Worst Scaling Suitable for Health State Valuation? A Comparison with Discrete Choice Experiments," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 1-16, December.
    7. Danny Campbell & Seda Erdem, 2015. "Position Bias in Best-worst Scaling Surveys: A Case Study on Trust in Institutions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(2), pages 526-545.
    8. Nick Hanley & Mandy Ryan & Robert Wright, 2003. "Estimating the monetary value of health care: lessons from environmental economics," Health Economics, John Wiley & Sons, Ltd., vol. 12(1), pages 3-16, January.
    9. Danny Campbell & W. George Hutchinson & Riccardo Scarpa, 2006. "Lexicographic Preferences in Discrete Choice Experiments: Consequences on Individual-Specific Willingness to Pay Estimates," Working Papers 2006.128, Fondazione Eni Enrico Mattei.
    10. Danny Campbell & W. George Hutchinson & Riccardo Scarpa, 2006. "Lexicographic Preferences in Discrete Choice Experiments: Consequences on Individual-Specific Willingness to Pay Estimates," Working Papers 2006.128, Fondazione Eni Enrico Mattei.
    11. Seda Erdem & Danny Campbell, 2017. "Preferences for public involvement in health service decisions: a comparison between best-worst scaling and trio-wise stated preference elicitation techniques," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(9), pages 1107-1123, December.
    12. 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.
    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. Alessandro Mengoni & Chiara Seghieri & Sabina Nuti, 2013. "The application of discrete choice experiments in health economics: a systematic review of the literature," Working Papers 201301, Scuola Superiore Sant'Anna of Pisa, Istituto di Management.
    2. Esther W. de Bekker‐Grob & Mandy Ryan & Karen Gerard, 2012. "Discrete choice experiments in health economics: a review of the literature," Health Economics, John Wiley & Sons, Ltd., vol. 21(2), pages 145-172, February.
    3. Aizaki, Hideo & Fogarty, James, 2019. "An R package and tutorial for case 2 best–worst scaling," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
    4. Pavel, Ciaian & Gomez y Paloma, Sergio, 2011. "The Value of EU Agricultural Landscape," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 102727, Agricultural and Applied Economics Association.
    5. Rinaldo Brau & Matteo Lippi Bruni, 2008. "Eliciting the demand for long‐term care coverage: a discrete choice modelling analysis," Health Economics, John Wiley & Sons, Ltd., vol. 17(3), pages 411-433, March.
    6. Dorte Gyrd‐Hansen & Mette Lundsby Jensen & Trine Kjaer, 2014. "Framing The Willingness‐To‐Pay Question: Impact On Response Patterns And Mean Willingness To Pay," Health Economics, John Wiley & Sons, Ltd., vol. 23(5), pages 550-563, May.
    7. Timothy R. Silberg & Robert B. Richardson & Maria Claudia Lopez, 2020. "Maize farmer preferences for intercropping systems to reduce Striga in Malawi," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 12(2), pages 269-283, April.
    8. Mridu Prabal Goswami & Manipushpak Mitra & Debapriya Sen, 2022. "A Characterization of Lexicographic Preferences," Decision Analysis, INFORMS, vol. 19(2), pages 170-187, June.
    9. Hajji, Assma & Trukeschitz, Birgit & Malley, Juliette & Batchelder, Laurie & Saloniki, Eirini & Linnosmaa, Ismo & Lu, Hui, 2020. "Population-based preference weights for the Adult Social Care Outcomes Toolkit (ASCOT) for service users for Austria: Findings from a best-worst experiment," Social Science & Medicine, Elsevier, vol. 250(C).
    10. Soekhai, V. & Donkers, B. & Levitan, B. & de Bekker-Grob, E.W., 2021. "Case 2 best-worst scaling: For good or for bad but not for both," Journal of choice modelling, Elsevier, vol. 41(C).
    11. Rulleau, Bénédicte & Dachary-Bernard, Jeanne, 2012. "Preferences, rational choices and economic valuation: Some empirical tests," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 41(2), pages 198-206.
    12. Fredrik Carlsson & Mitesh Kataria & Elina Lampi, 2010. "Dealing with Ignored Attributes in Choice Experiments on Valuation of Sweden’s Environmental Quality Objectives," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 47(1), pages 65-89, September.
    13. Pavel Ciaian & Sergio Gomez y Paloma, 2011. "Valuation of EU Agricultural Landscape," EERI Research Paper Series EERI_RP_2011_20, Economics and Econometrics Research Institute (EERI), Brussels.
    14. F. Reed Johnson & Ateesha F. Mohamed & Semra Özdemir & Deborah A. Marshall & Kathryn A. Phillips, 2011. "How does cost matter in health‐care discrete‐choice experiments?," Health Economics, John Wiley & Sons, Ltd., vol. 20(3), pages 323-330, March.
    15. Feyaerts, Hendrik & Maertens, Miet, 2021. "The Market for Onions or Lemons? Import Substitution and Consumer Preferences in Senegal," 2021 Conference, August 17-31, 2021, Virtual 315170, International Association of Agricultural Economists.
    16. Kwak, So-Yoon & Yoo, Seung-Hoon & Kwak, Seung-Jun, 2010. "Valuing energy-saving measures in residential buildings: A choice experiment study," Energy Policy, Elsevier, vol. 38(1), pages 673-677, January.
    17. Lien Nguyen & Hanna Jokimäki & Ismo Linnosmaa & Eirini-Christina Saloniki & Laurie Batchelder & Juliette Malley & Hui Lu & Peter Burge & Birgit Trukeschitz & Julien Forder, 2022. "Valuing informal carers’ quality of life using best-worst scaling—Finnish preference weights for the Adult Social Care Outcomes Toolkit for carers (ASCOT-Carer)," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(3), pages 357-374, April.
    18. Christoph, Inken B. & Peter, Guenter & Rothe, Andrea & Salamon, Petra & Weber, Sascha A. & Weible, Daniela, 2011. "School Milk Consumption in Germany - What are Important Product Attributes for Children and Parents?," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114294, European Association of Agricultural Economists.
    19. Brendan Mulhern & Richard Norman & Deborah J. Street & Rosalie Viney, 2019. "One Method, Many Methodological Choices: A Structured Review of Discrete-Choice Experiments for Health State Valuation," PharmacoEconomics, Springer, vol. 37(1), pages 29-43, January.
    20. Patricia Cubi-Molla & Martin Buxton & Nancy Devlin, 2021. "Allocating Public Spending Efficiently: Is There a Need for a Better Mechanism to Inform Decisions in the UK and Elsewhere?," Applied Health Economics and Health Policy, Springer, vol. 19(5), pages 635-644, September.

    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:spr:aphecp:v:18:y:2020:i:1:d:10.1007_s40258-019-00522-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.