Testing rank-dependent utility theory for health outcomes

Area of Science:

• Decision theory
• Health economics
• Behavioral economics

Background:

• Expected utility theory (EU) is a foundational model for decision-making under risk.
• Empirical studies consistently show systematic violations of EU, particularly with health outcomes.
• Rank-dependent utility theory (RDU) has emerged as a prominent alternative, aiming to better capture observed choices.

Purpose of the Study:

• To compare the descriptive accuracy of Rank-dependent utility theory (RDU) against Expected utility theory (EU) in the domain of health outcomes.
• To investigate whether RDU can account for deviations from EU when choices involve health risks.

Main Methods:

• Experimental design comparing choices between different health outcome scenarios.
• Analysis of participant decisions to assess adherence to EU and RDU predictions.
• Statistical testing to evaluate the explanatory power of RDU relative to EU.

Main Results:

• When one health option was certain, observed choices violated EU predictions in ways consistent with RDU.
• When both health options involved risk, RDU did not provide a statistically significant improvement in descriptive accuracy over EU.
• The lack of RDU improvement in risky scenarios may be attributable to limitations in statistical power.

Conclusions:

• RDU offers explanatory value for deviations from EU in health decisions involving certainty.
• Current evidence does not support RDU as a superior descriptive model to EU for risky health choices.
• Further research with enhanced statistical power is needed to definitively assess RDU's performance in complex health risk scenarios.