Common health state valuation methodologies, such as standard gamble (SG) and time trade‐off (TTO), typically produce different weights for identical health states. We attempt to alleviate these differences by correcting the confounding influences modeled in prospect theory: loss aversion and probability weighting. Furthermore, we correct for nonlinear utility of life duration. In contrast to earlier attempts at correcting TTO and SG weights, we measure and correct all these tenets simultaneously, using newly developed nonparametric methodology. These corrections were applied to three less‐than‐perfect health states, measured with TTO and SG. We found considerable loss aversion and probability weighting for both gains and losses in life years, and we observe concave utility for gains and convex utility for losses in life years. After correction, the initially significant differences in weights between TTO and SG disappeared for all health states. Our findings suggest new opportunities to account for bias in health state valuations but also the need for further validation of resulting weights.

Additional Metadata
Keywords health state valuation, loss aversion, prospect theory, standard gamble, time trade‐off
JEL Economic Methodology (jel B41), Behavioral Economics; Underlying Principles (jel D03), Criteria for Decision-Making under Risk and Uncertainty (jel D81), Health: General (jel I10)
Persistent URL dx.doi.org/10.1002/hec.3895, hdl.handle.net/1765/117400
Journal Health Economics
Citation
Lipman, S.A, Brouwer, W.B.F, & Attema, A.E. (2019). QALYs without bias? Non-parametric correction of time trade-off and standard gamble weights based on prospect theory. Health Economics, 28(7), 843–854. doi:10.1002/hec.3895