Ambiguity preferences for health
- PMID: 29971896
- PMCID: PMC6221042
- DOI: 10.1002/hec.3795
Ambiguity preferences for health
Abstract
In most medical decisions, probabilities are ambiguous and not objectively known. Empirical evidence suggests that people's preferences are affected by ambiguity. Health economic analyses generally ignore ambiguity preferences and assume that they are the same as preferences under risk. We show how health preferences can be measured under ambiguity, and we compare them with health preferences under risk. We assume a general ambiguity model that includes many of the ambiguity models that have been proposed in the literature. For health gains, ambiguity preferences and risk preferences were indeed the same. For health losses, they differed with subjects being more pessimistic in decision under ambiguity. Utility and loss aversion were the same for risk and ambiguity. Our results imply that reducing the clinical ambiguity of health losses has more impact than reducing the ambiguity of health gains, that utilities elicited with known probabilities may not carry over to an ambiguous setting, and that ambiguity aversion may impact value of information analyses if losses are involved. These findings are highly relevant for medical decision making, because most medical interventions involve losses.
Keywords: ambiguity; health.
© 2018 The Authors. Health Economics published by John Wiley & Sons Ltd.
Figures
References
-
- Abdellaoui, M. , Bleichrodt, H. , L'Haridon, O. , & van Dolder, D. (2016). Measuring loss aversion under ambiguity: A method to make prospect theory completely observable. Journal of Risk and Uncertainty, 52(1), 1–20.
-
- Anwar, S. , & Zheng, M. (2012). Competitive insurance market in the presence of ambiguity. Insurance: Mathematics and Economics, 50(1), 79–84.
-
- Asano, T. , & Shibata, A. (2011). Risk and uncertainty in health investment. The European Journal of Health Economics, 12(1), 79–85. - PubMed
-
- Attema, A. E. , Brouwer, W. B. F. , & L'Haridon, O. (2013). Prospect theory in the health domain: A quantitative assessment. Journal of Health Economics, 32(6), 1057–1065. - PubMed
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
