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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Health Economics
Article . 2013 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
Health Economics
Article . 2015
UQ eSpace
Article . 2014
Data sources: UQ eSpace
UQ eSpace
Article . 2014
Data sources: UQ eSpace
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FRAMING THE WILLINGNESS‐TO‐PAY QUESTION: IMPACT ON RESPONSE PATTERNS AND MEAN WILLINGNESS TO PAY

Authors: Gyrd-Hansen, Dorte; Jensen, Mette Lundsby; Kjaer, Trine;

FRAMING THE WILLINGNESS‐TO‐PAY QUESTION: IMPACT ON RESPONSE PATTERNS AND MEAN WILLINGNESS TO PAY

Abstract

SUMMARYIn this study, respondents were randomly allocated to three variants of the payment card format and an open‐ended format in order to test for convergent validity. The aim was to test whether preferences (as measured by willingness to pay additional tax) would be affected by framing the willingness‐to‐pay question differently. Results demonstrated that valuations were highly sensitive to whether respondents were asked to express their maximum willingness to pay per month or per year. Another important finding is that the introduction of a binary response filter prior to the payment card follow‐up tends to eliminate the positive aspects of introducing a payment card and produces response patterns that are much in line with those of the open‐ended contingent valuation format. However, although a filter will impact on the distribution of willingness‐to‐pay bids and on the rate of zero and protest bids, the overall impact on the welfare estimate is minor. The outcomes of this study indicate that valuations in the stated preference literature may be, at least in part, a function of the instrument designed to obtain the valuations. Copyright © 2013 John Wiley & Sons, Ltd.

Countries
Denmark, Australia
Keywords

Adult, Male, Financing, Personal, Adolescent, Patient Acceptance of Health Care/statistics & numerical data, Economic, WTP, Financing, Personal/statistics & numerical data, Young Adult, Models, Humans, Contingent valuation, framing, Payment scale, Middle Aged, Patient Acceptance of Health Care, Personal/statistics & numerical data, 2719 Health Policy, Health Expenditures/statistics & numerical data, Models, Economic, Socioeconomic Factors, payment scale, Framing, Female, Financing, Health Expenditures, contingent valuation

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
25
Top 10%
Top 10%
Top 10%
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