Operations Research · 1982 · 3K citations · 9 references
BusinessDecision SciencesEconomicsBehavioral EconomicsDecision MakingDecision TheoryBehavioral Decision-makingChoice Under UncertaintyDecision Under UncertaintyDecision-making Under UncertaintyRational ChoiceUtility TheoryExpected Utility TheoryLoss-related Decision MakingNormative Decision TheoryPreference Under UncertaintyUtility Maximization Under Uncertainty
People often deviate from expected‑utility maximization, and the cognitive demands of consistency may explain this, yet observed anomalies suggest expected‑utility theory may not fully guide behavior. This paper investigates whether the failure of expected‑utility theory stems from using only a single monetary outcome descriptor. The authors propose that a decision maker willing to trade financial return to avoid regret will display the behavioral paradoxes of decision theory. Incorporating regret into expected‑utility theory better predicts behavior and can serve as a more persuasive guide for decision makers.
Evidence exists that people do not always make decisions involving uncertain monetary rewards as if they were maximizing expected utility of final assets. Explanations for this behavior postulate that the cognitive demands of consistency to such a theory are too great. However, situations exist in which more than mental shortcuts are involved and these anomalies raise questions about expected utility theory as a guide to behavior. This paper explores the possibility that expected utility theory appears to fail because the single outcome descriptor—money—is not sufficient. After making a decision under uncertainty, a person may discover, on learning the relevant outcomes, that another alternative would have been preferable. This knowledge may impart a sense of loss, or regret. The decision maker who is prepared to tradeoff financial return in order to avoid regret will exhibit some of the behavioral paradoxes of decision theory. By explicitly incorporating regret, expected utility theory not only becomes a better descriptive predictor but also may become a more convincing guide for prescribing behavior to decision makers.
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