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Articles

Do we make decisions for other people based on our predictions of their preferences? evidence from financial and medical scenarios involving risk

ORCID Icon, &
Pages 188-217 | Received 13 Nov 2018, Accepted 05 Mar 2019, Published online: 16 Apr 2019

Figures & data

Figure 1. Means of participants’ own ratings and their predictions of another’s person’s ratings of the £-bet and the-P bet (Experiment 1). Error bars represent the standard error of the mean.

Figure 1. Means of participants’ own ratings and their predictions of another’s person’s ratings of the £-bet and the-P bet (Experiment 1). Error bars represent the standard error of the mean.

Figure 2. Average utility for each recipient, magnitude and utility estimation task with error bars representing the standard error of the mean (Experiment 2). Higher utilities indicate less risk-taking in the SG task and less life years sacrificed in the TTO task.

Figure 2. Average utility for each recipient, magnitude and utility estimation task with error bars representing the standard error of the mean (Experiment 2). Higher utilities indicate less risk-taking in the SG task and less life years sacrificed in the TTO task.

Figure 3. Participants’ choices for each recipient by domain with error bars representing the standard error of the mean (Experiment 3). In the financial domain, higher values indicate a higher preference for the P-bet. In the medical domain, higher values indicate a higher preference for staying in the medical condition as opposed to taking the treatment.

Figure 3. Participants’ choices for each recipient by domain with error bars representing the standard error of the mean (Experiment 3). In the financial domain, higher values indicate a higher preference for the P-bet. In the medical domain, higher values indicate a higher preference for staying in the medical condition as opposed to taking the treatment.

Data availability statement

The data that supports the findings of this study are available from https://osf.io/tp8sg/.