Arbeitspapier
Risk Aversion as a Perceptual Bias
The theory of expected utility maximization (EUM) proposed by Bernoulli explains risk aversion as a consequence of diminishing marginal utility of wealth. However, observed choices between risky lotteries are difficult to reconcile with EUM: for example, in the laboratory, subjects’ responses on individual trials involve a random element, and cannot be predicted purely from the terms offered; and subjects often appear to be too risk averse with regard to small gambles (while still accepting sufficiently favorable large gambles) to be consistent with any utility-of-wealth function. We propose a unified explanation for both anomalies, similar to the explanation given for related phenomena in the case of perceptual judgments: they result from judgments based on imprecise (and noisy) mental representation of the decision situation. In this model, risk aversion is predicted without any need for a nonlinear utility-of-wealth function, and instead results from a sort of perceptual bias | but one that represents an optimal Bayesian decision, given the limitations of the mental representation of the situation. We propose a specific quantitative model of the mental representation of a simple lottery choice problem, based on other evidence regarding numerical cognition, and test its ability to explain the choice frequencies that we observe in a laboratory experiment.
- Sprache
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Englisch
- Erschienen in
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Series: CESifo Working Paper ; No. 6416
- Klassifikation
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Wirtschaft
Design of Experiments: Laboratory, Individual
Information, Knowledge, and Uncertainty: General
Criteria for Decision-Making under Risk and Uncertainty
Neuroeconomics
- Ereignis
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Geistige Schöpfung
- (wer)
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Khaw, Mel Win
Li, Ziang
Woodford, Michael
- Ereignis
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Veröffentlichung
- (wer)
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Center for Economic Studies and ifo Institute (CESifo)
- (wo)
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Munich
- (wann)
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2017
- Handle
- Letzte Aktualisierung
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10.03.2025, 11:41 MEZ
Datenpartner
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Objekttyp
- Arbeitspapier
Beteiligte
- Khaw, Mel Win
- Li, Ziang
- Woodford, Michael
- Center for Economic Studies and ifo Institute (CESifo)
Entstanden
- 2017