Decision Under Uncertainty: State of the Science

Expected utility maximization is the dominant theory for decision making under uncertainty. Over the past decades evidence has been accumulated, indicating that the theory is often violated and sometimes even questioned as a normative standard. Alternative theories have been proposed for choices with known and unknown probabilities. These theories, in turn, have also been challenged by more recent evidence. This review attempts to provide an overview of the field, highlighting some questions that economists should pose when modeling choice under uncertainty.

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Publication Details

Journal
Annual Review of Economics
Published
2025-03-05
DOI
https://doi.org/10.1146/annurev-economics-090924-041522
Citations
9
Primary Topic
Complex Systems and Decision Making
Type
article
Field-Weighted Citation Impact
16.85
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article

Decision Under Uncertainty: State of the Science

Itzhak Gilboa
9 citations
Annual Review of Economics
Complex Systems and Decision Making
16.85
article

Decision Under Uncertainty: State of the Science

Itzhak Gilboa
article en
9 citations

Abstract

Expected utility maximization is the dominant theory for decision making under uncertainty. Over the past decades evidence has been accumulated, indicating that the theory is often violated and sometimes even questioned as a normative standard. Alternative theories have been proposed for choices with known and unknown probabilities. These theories, in turn, have also been challenged by more recent evidence. This review attempts to provide an overview of the field, highlighting some questions that economists should pose when modeling choice under uncertainty.

Annual Review of EconomicsVol. 17(1)
HEC Paris (FR)
Openalex Percentile: Top 1%
Complex Systems and Decision Making
16.85
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