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
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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Cites
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Efron, B. (1979) · The Annals of Statistics · doi:10.1214/aos/1176344552 · Cited by 17,602
Better Bootstrap Confidence Intervals
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Analysis of Covariance with Qualitative Data
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Krinsky, I., & Robb, A. L. (1986) · The Review of Economics and Statistics · doi:10.2307/1924536 · Cited by 2,374
Some Problems in Interval Estimation
Fieller, E. C. (1954) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1954.tb00159.x · Cited by 1,139
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On the ratio of two correlated normal random variables
HINKLEY, D. V. (1969) · Biometrika · doi:10.1093/biomet/56.3.635 · Cited by 633
THE DISTRIBUTION OF THE INDEX IN A NORMAL BIVARIATE POPULATION
FIELLER, E. C. (1932) · Biometrika · doi:10.1093/biomet/24.3-4.428 · Cited by 349
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Conducting Discrete Choice Experiments to Inform Healthcare Decision Making: A User??s Guide
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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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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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