IDEAS home Printed from
MyIDEAS: Login to save this article or follow this journal

Design techniques for stated preference methods in health economics

  • Fredrik Carlsson

    (Department of Economics, Göteborg University, Gothenburg, Sweden)

  • Peter Martinsson

    (Department of Economics, Lund University, Lund, Sweden)

This paper discusses different design techniques for stated preference surveys in health economic applications. In particular, we focus on different design techniques, i.e. how to combine the attribute levels into alternatives and choice sets, for choice experiments. Design is a vital issue in choice experiments since the combination of alternatives in the choice sets will determine the degree of precision obtainable from the estimates and welfare measures. In this paper we compare orthogonal, cyclical and D-optimal designs, where the latter allows expectations about the true parameters to be included when creating the design. Moreover, we discuss how to obtain prior information on the parameters and how to conduct a sequential design procedure during the actual experiment in order to improve the precision in the estimates. The designs are evaluated according to their ability to predict the true marginal willingness to pay under different specifications of the utility function in Monte Carlo simulations. Our results suggest that the designs produce unbiased estimations, but orthogonal designs result in larger mean square error in comparison to D-optimal designs. This result is expected when using correct priors on the parameters in D-optimal designs. However, the simulations show that welfare measures are not very sensitive if the choice sets are generated from a D-optimal design with biased priors. Copyright © 2002 John Wiley & Sons, Ltd.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL:
File Function: Link to full text; subscription required
Download Restriction: no

Article provided by John Wiley & Sons, Ltd. in its journal Health Economics.

Volume (Year): 12 (2003)
Issue (Month): 4 ()
Pages: 281-294

in new window

Handle: RePEc:wly:hlthec:v:12:y:2003:i:4:p:281-294
Contact details of provider: Web page:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Vick, Sandra & Scott, Anthony, 1998. "Agency in health care. Examining patients' preferences for attributes of the doctor-patient relationship," Journal of Health Economics, Elsevier, vol. 17(5), pages 587-605, October.
  2. Johansson,Per-Olov, 1995. "Evaluating Health Risks," Cambridge Books, Cambridge University Press, number 9780521472852, October.
  3. Verhoef, C. G. & Maas, A. & Stalpers, L. J. A. & Verbeek, A. L. M. & Wobbes, Th. & van Daal, W. A. J., 1991. "The feasibility of additive conjoint measurement in measuring utilities in breast cancer patients," Health Policy, Elsevier, vol. 17(1), pages 39-50, February.
  4. 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.
  5. Alberini Anna, 1995. "Optimal Designs for Discrete Choice Contingent Valuation Surveys: Single-Bound, Double-Bound, and Bivariate Models," Journal of Environmental Economics and Management, Elsevier, vol. 28(3), pages 287-306, May.
  6. Carol Propper, 1995. "The Disutility of Time Spent on the United Kingdom's National Health Service Waiting Lists," Journal of Human Resources, University of Wisconsin Press, vol. 30(4), pages 677-700.
  7. Barbara J. Kanninen, 1993. "Optimal Experimental Design for Double-Bounded Dichotomous Choice Contingent Valuation," Land Economics, University of Wisconsin Press, vol. 69(2), pages 138-146.
  8. Johansson,Per-Olov, 1995. "Evaluating Health Risks," Cambridge Books, Cambridge University Press, number 9780521478786, October.
  9. 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.
  10. Kanninen Barbara J., 1993. "Design of Sequential Experiments for Contingent Valuation Studies," Journal of Environmental Economics and Management, Elsevier, vol. 25(1), pages S1-S11, July.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:wly:hlthec:v:12:y:2003:i:4:p:281-294. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing)

or (Christopher F. Baum)

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.