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Updated: Jul 5, 2025

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
Published on: September 19, 2012
Risk preferences over health: Empirical estimates and implications for medical decision-making
Karen Mulligan1, Drishti Baid2, Jason N Doctor1
1Sol Price School of Public Policy, University of Southern California, Ralph and Goldy Lewis Hall 312, Los Angeles, CA, 90089, USA; Schaffer Center for Health Policy and Economics, University of Southern California, 635 Downey Way, Verna & Peter Dauterive Hall, Los Angeles, CA, 90089, USA.
Consumers value health gains differently based on their current health status, challenging standard economic assumptions. This study reveals risk-seeking behavior at low health levels, shifting to risk aversion as health improves.
Area of Science:
- Health Economics
- Decision Theory
- Behavioral Economics
Background:
- Standard economic models assume health gains have equal value regardless of baseline health.
- Recent research and theories like GRACE suggest baseline health influences value, especially if individuals are not risk-neutral.
- Empirical evidence questions the assumption of risk-neutral expected utility maximization in health contexts.
Purpose of the Study:
- To empirically estimate utility over health-related quality of life (HRQoL) in a U.S. population.
- To measure individual risk preferences concerning health status.
- To explore the implications of non-linear health utility for economic evaluations and decision-making.
Main Methods:
- Utilized data from a nationally representative U.S. population sample.
- Estimated utility functions based on self-reported HRQoL.
- Calculated risk preferences, including the coefficient of relative risk aversion.
Main Results:
- Individuals exhibit risk-seeking behavior at low health levels.
- Risk aversion emerges at a health status of approximately 0.485 (on a 0-1 scale).
- Maximum risk aversion is observed at perfect health, with a coefficient of relative risk aversion of 4.51.
Conclusions:
- Baseline health status significantly impacts the perceived value of health gains.
- Findings necessitate revisions to cost-effectiveness analyses and health economic theory.
- Understanding risk preferences across the health spectrum is crucial for medical decision-making under uncertainty.
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