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Cited by 594

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

Decision Making Over Time and Under Uncertainty: A Common Approach

Prelec, Drazen, Loewenstein, George·1991·Management Science

Abstract

This paper considers a number of parallels between risky and intertemporal choice. We begin by demonstrating a one-to-one correspondence between the behavioral violations of the respective normative theories for the two domains (i.e., expected utility and discounted utility models). We argue that such violations (or preference reversals) are broadly consistent with three propositions about the weight that an attribute receives in both types of multiattribute choice. Specifically, it appears that: (1) if we add a constant to all values of an attribute, then that attribute becomes less important; (2) if we proportionately increase all values of an attribute, or if we change the sign of an attribute, from positive to negative, then that attribute becomes more important. The generality of these propositions, as well as the constraints they would impose on separable representations of multiattribute preferences, is discussed.

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Metadata

Authors
Prelec, D., & Loewenstein, G.
Venue
Management Science
Published
1991-07
Volume
37
Issue
7
Pages
770-786
ISSN
  • 0025-1909 (ISSN-L)
  • 1526-5501
OpenAlex
W2120505991
Cited by
594
References
30
FWCI
2.77
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Decision Making Over Time and Under Uncertainty: A Common Approach. https://app.cochat.ai/papers/10.1287/mnsc.37.7.770
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Prelec, D., & Loewenstein, G. (1991). Decision Making Over Time and Under Uncertainty: A Common Approach. Management Science. https://doi.org/10.1287/mnsc.37.7.770

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.