Quantifying response shift or adaptation effects in quality of life by synthesising best-worst scaling and discrete choice data

Terry N. Flynn, Tim J. Peters and Joanna Coast

Journal of choice modelling, 2013, vol. 6, issue C, 34-43

Abstract: Older people's valuation of health-related aspects of quality of life may be altered by response shift, where they lower expectations of aspects of well-being that are believed to naturally deteriorate with age. Policy-makers may wish to adjust estimated preferences if these reflect past inequities in health funding rather than the true production possibilities. Response shift might be quantified by changing the context of the choice task. The ICECAP-O valuation exercise achieved this by asking a binary choice holistic decision of respondents, in addition to the case 2 best-worst choice task among the five attributes. Answers to the former are more likely to be subject to response shift since they involve traditional trade-offs. Answers to the latter reflect only ‘relative disutility’ of various impairments.

Keywords: Choice modelling; Best–worst scaling; Attribute importance (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:eejocm:v:6:y:2013:i:c:p:34-43

DOI: 10.1016/j.jocm.2013.04.004

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