Abstract
We examine risk attitudes under regret theory and derive analytical expressions for two components—the resolution and regret premiums—of the risk premium under regret theory. We posit that regret-averse decision makers are risk seeking (resp., risk averse) for low (resp., high) probabilities of gains and that feedback concerning the foregone option reinforces risk attitudes. We test these hypotheses experimentally and estimate empirically both the resolution premium and the regret premium. Our results confirm the predominance of regret aversion but not the risk attitudes predicted by regret theory; they also clarify how feedback affects attitudes toward both risk and regret.
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Notes
2Loomes and Sugden (1982) refer to u as a “choiceless utility function”.
If instead the DM does want to hear about (resp., is indifferent to) the foregone prospect’s payoffs, then the resolution premium is negative (resp., zero).
In our set-up, note that the resolution premium is computed independently from the regret premium. So our set-up allows a regret-averse DM to be resolution seeking.
The full list of questions is given in Appendix B (the instructions are available at goo.gl/jKOT3R and goo.gl/3ftKzu).
A subject with a concave or convex utility function might prefer the RA prospect despite not being regret averse. For instance, consider a choice between prospects a = (E1, 20; E2, 70; E3, 30) and b = (E1, 45; E2, 25; E3, 50) when all three events are equally likely. Prospect a is a RA prospect because if Q is convex and u is linear then Q(45) > Q(25) + Q(20), in which case a ≽ b. If instead u is convex and Q is linear, we still have a ≽ b. Similar cases occur also when u is concave and Q is linear. To avoid classifying such subjects as regret averse, we included eight questions in which the RA prospect’s EV was lower than that of the RS prospect.
If more than 50% of choices are consistent with H1, we classify the subject and question as “consistent with H1.” In case of indifference, we choose one of the options with equal probability.
The estimated regret functions of regret-seeking subjects are identical under conditions F and N: Q F (α) = Q N (α) = α0.9. However, feedback increases the number of regret-seeking subjects. In particular, the number (14) of regret-seeking subjects in condition F is significantly larger than the number (3) of regret-seeking subjects in condition N. Feedback therefore decreases the entire subject pool’s regret aversion. The extremely few regret-seeking subjects under condition N precludes any meaningful comparison with their counterparts under condition F.
If the certainty effect influenced our result, then the subjects would have been more consistent with respect to H1 for the second set of questions (since both prospects are risky). However, our evidence points in the opposite direction.
When subjects whose responses in Section II were inconsistent with regret theory are removed and the Q-function is then recomputed, we still find that feedback polarizes regret attitudes.
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Acknowledgements
We thank Aurélien Baillon, Han Bleichrodt, Luc Wathieu, Klaus Wertenbroch, Horst Zank, the editor, and an anonymous referee for their helpful comments. We also gratefully acknowledge support from the People Program (Marie Curie Actions) of the European Union’s Seventh Framework Program FP7/2007–2013/ under REA grant agreement 290255.
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Appendices
Appendix A
1.1 Example of experimental stimuli for Sections I and II
Appendix B
1.1 Questions used in Sections I and II of the lab experiment
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Somasundaram, J., Diecidue, E. Regret theory and risk attitudes. J Risk Uncertain 55, 147–175 (2017). https://doi.org/10.1007/s11166-017-9268-9
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DOI: https://doi.org/10.1007/s11166-017-9268-9