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Hypothetical Bias in the SG and TTO
Journal article   Peer reviewed

Hypothetical Bias in the SG and TTO

Aurélien Baillon, Han Bleichrodt and Georg D Granic
Medical Decision Making, Vol.46(4), pp.489-500
01/05/2026
PMID: 41863041

Abstract

standard gamble Bayesian truth serum health state utility measurement hypothetical bias time tradeoff Health Care Planning or Policy Medical Decision Making
Background: Health state utility measurements are central in health policy and medical decision making. Common methods are the standard gamble (SG) and the time tradeoff (TTO). They typically use hypothetical questions. It is unknown whether this leads to a bias. Methods: We used the Bayesian truth serum (BTS) to incentivize choices in the SG and the TTO. We asked these choices both with and without incentives in 2 online experiments: 1 with 498 Dutch students and 1 with 1,298 members of the US general population. To give incentives their maximal possibility to work, we deliberately introduced default bias in the US sample. Results: Incentives made no difference. Individual choices and aggregate valuations in the SG and the TTO were the same with and without incentives in both experiments. Defaults affected the TTO, but not the SG. Limitations: The BTS assumes that respondents have a common prior and use Bayesian updating. Moreover, it is hard to explain why answering truthfully is in respondents' best interests in the BTS. Conclusions and Implications: Incentives did not affect the SG and TTO. Our results support the current practice of using hypothetical questions in health state utility measurement. Highlights: We found no evidence of hypothetical bias in the choices made in the SG and TTO measurements.This was true even when we introduced a default bias.The common practice to use hypothetical questions in health state utility measurement seems valid.

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