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The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

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

Hole, Arne Risa·2007·Health Economics

Abstract

This paper describes four approaches to estimating confidence intervals for willingness to pay measures: the delta, Fieller, Krinsky 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 four 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. Copyright © 2007 John Wiley & Sons, Ltd.

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Metadata

Authors
Hole, A. R.
Venue
Health Economics
Publisher
Wiley
Published
2007-01-22
Volume
16
Issue
8
Pages
827-840
ISSN
  • 1057-9230 (ISSN-L)
  • 1099-1050
OpenAlex
W2147780192
Cited by
600
References
19
FWCI
31.25
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A comparison of approaches to estimating confidence intervals for willingness to pay measures. https://app.cochat.ai/papers/10.1002/hec.1197
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Hole, A. R. (2007). A comparison of approaches to estimating confidence intervals for willingness to pay measures. Health Economics. https://doi.org/10.1002/hec.1197

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.