A comparison of approaches to estimating confidence intervals for willingness to pay measures
AbstractThis 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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Bibliographic InfoPaper provided by Centre for Health Economics, University of York in its series Working Papers with number 008cherp.
Length: 28 pages
Date of creation: Jan 2006
Date of revision:
willingness to pay; confidence interval; delta method; boot-strap;
Other versions of this item:
- Arne Risa Hole, 2007. "A comparison of approaches to estimating confidence intervals for willingness to pay measures," Health Economics, John Wiley & Sons, Ltd., vol. 16(8), pages 827-840.
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