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Do we say what we do? Testing cheap talk to reduce hypothetical bias in moral choice experiments
Nicholas V R Smeele1, Sander van Cranenburgh2, Bas Donkers3
1Erasmus School of Health Policy & Management, Erasmus University Rotterdam, the Netherlands; Erasmus Choice Modelling Centre, Erasmus University Rotterdam, the Netherlands; Erasmus Centre for Health Economics Rotterdam, Erasmus University Rotterdam, the Netherlands.
Objective:
Discrete choice experiments (DCEs) are widely used in healthcare to estimate willingness-to-pay (WTP) but may be affected by hypothetical bias (HB), especially in morally sensitive contexts. While cheap-talk is proposed as a mitigation strategy, its effectiveness in health-related DCEs involving moral trade-offs remains unclear. This study examines how cheap-talk influences WTP in such settings.
Methods:
A split-sample DCE on organ transplantation policies was conducted, involving trade-offs between cost and morally salient outcomes: saving lives ("being alive") and improving quality of life ("having a life"). Respondents (N = 651) were randomly assigned to one of three survey arms: control (no manipulation), cheap-talk, or cheap-talk with follow-up question. Multinomial logit model in WTP space with a Taboo Trade-off Aversion (TTOA) specification was used to estimate treatment effects and interactions with religiosity.
Results:
Exposure to the cheap-talk script reduced WTP for saving lives, indicating increased attention to financial considerations. WTP for quality-of-life improvements and avoiding taboo trade-offs remained unchanged. Religious respondents reported higher WTP to avoid taboo trade-offs in the control arm, but this gap disappeared under cheap-talk, showing that deliberation moderates monetary expressions among religious individuals without altering underlying convictions.
Conclusions:
Cheap-talk promotes more reflective decision-making in morally sensitive health-related choices, particularly among individuals with strong moral or religious convictions. It reduces elevated WTP for taboo trade-offs, while its effect on other respondents is limited. Future research should combine stated and revealed preference data and explore models that account for non-compensatory moral decision rules to better capture complex moral preferences DCEs.
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The null hypothesis, denoted by H0 is a statement of no difference between the variables—they are not related. This can often be considered the status quo. As a result if you cannot accept the null, it requires some action.
The alternative hypothesis, denoted by H1 or Ha, is a claim about the...
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