## Abstract This paper describes an application of hierarchical information integration (HII) discrete choice experiments. We assessed theoretical and construct validity, as well as internal consistency, to investigate whether HII can be used to investigate complex multi‐faceted health‐care decisio
How does cost matter in health-care discrete-choice experiments?
✍ Scribed by F. Reed Johnson; Ateesha F. Mohamed; Semra Özdemir; Deborah A. Marshall; Kathryn A. Phillips
- Publisher
- John Wiley and Sons
- Year
- 2011
- Tongue
- English
- Weight
- 124 KB
- Volume
- 20
- Category
- Article
- ISSN
- 1057-9230
- DOI
- 10.1002/hec.1591
No coin nor oath required. For personal study only.
✦ Synopsis
Willingness-to-pay (WTP) estimates derived from discrete-choice experiments (DCEs) generally assume that the marginal utility of income is constant. This assumption is consistent with theoretical expectations when costs are a small fraction of total income. We analyze the results of five DCEs that allow direct tests of this assumption. Tests indicate that marginal utility often violates theoretical expectations. We suggest that this result is an artifact of a cognitive heuristic that recodes cost levels from a numerical scale to qualitative categories. Instead of evaluating nominal costs in the context of a budget constraint, subjects may recode costs into categories such as 'low', 'medium', and 'high' and choose as if the differences between categories were equal. This simplifies the choice task, but undermines the validity of WTP estimates as welfare measures. Recoding may be a common heuristic in healthcare applications when insurance coverage distorts subjects' perception of the nominal costs presented in the DCE instrument. Recoding may also distort estimates of marginal rates of substitution for other attributes with numeric levels. Incorporating 'cheap talk' or graphic representation of attribute levels may encourage subjects to be more attentive to absolute attribute levels.
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