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A comparison of approaches to estimating confidence intervals for willingness to pay measures

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Author Info

  • Arne Risa Hole

    () (National Primary Care Research and Development Centre, Centre for Health Economics, University of York)

Abstract

This paper describes three approaches to estimating confidence intervals for willingness to pay measures, the delta, Krinsky and Robb and bootstrap methods. The accuracy of the various methods is compared using a number of simulated datasets. In the majority of the scenarios considered all three methods are found to be reasonably accurate as well as yielding similar results. The delta method is the most accurate when the data is well-conditioned, while the bootstrap is more robust to noisy data and misspecification of the model. These conclusions are illustrated by empirical data from a study of willingness to pay for a reduction in waiting time for a general practitioner appointment in which all the methods produce fairly similar confidence intervals.

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File URL: http://www.york.ac.uk/media/che/documents/papers/researchpapers/rp8_comparison_of_approaches_to_estimating_confidence_intervals_for_WTP.pdf
File Function: First version, 2006
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Bibliographic Info

Paper provided by Centre for Health Economics, University of York in its series Working Papers with number 008cherp.

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Length: 28 pages
Date of creation: Jan 2006
Date of revision:
Handle: RePEc:chy:respap:8cherp

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Related research

Keywords: willingness to pay; confidence interval; delta method; boot-strap;

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References

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  1. Krinsky, Itzhak & Robb, A Leslie, 1986. "On Approximating the Statistical Properties of Elasticities," The Review of Economics and Statistics, MIT Press, vol. 68(4), pages 715-19, November.
  2. Kling, Catherine L., 1991. "Estimating the Precision of Welfare Measures," Staff General Research Papers 1608, Iowa State University, Department of Economics.
  3. McIntosh, E. & Ryan, M., 2002. "Using discrete choice experiments to derive welfare estimates for the provision of elective surgery: Implications of discontinuous preferences," Journal of Economic Psychology, Elsevier, vol. 23(3), pages 367-382, June.
  4. Guilkey, David K. & Murphy, James L., 1993. "Estimation and testing in the random effects probit model," Journal of Econometrics, Elsevier, vol. 59(3), pages 301-317, October.
  5. Krinsky, Itzhak & Robb, A Leslie, 1990. "On Approximating the Statistical Properties of Elasticities: A Correction," The Review of Economics and Statistics, MIT Press, vol. 72(1), pages 189-90, February.
  6. J.M.C. Santos Silva, 2004. "Deriving welfare measures in discrete choice experiments: a comment to Lancsar and Savage (2)," Health Economics, John Wiley & Sons, Ltd., vol. 13(9), pages 913-918.
  7. Mandy Ryan, 2004. "Deriving welfare measures in discrete choice experiments: a comment to Lancsar and Savage (1)," Health Economics, John Wiley & Sons, Ltd., vol. 13(9), pages 909-912.
  8. Krinsky, Itzhak & Robb, A Leslie, 1991. "Three Methods for Calculating the Statistical Properties of Elasticities: A Comparison," Empirical Economics, Springer, vol. 16(2), pages 199-209.
  9. Chamberlain, Gary, 1980. "Analysis of Covariance with Qualitative Data," Review of Economic Studies, Wiley Blackwell, vol. 47(1), pages 225-38, January.
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