Expected Utility Maximization

Expected Utility Maximization is a decision-theoretic framework that prescribes selecting the action or policy yielding the highest expected value of utility, where utility represents a preference order over uncertain outcomes, by weighting the utility of each possible outcome by its probability of occurrence.

1.2K

Publications

112.8K

Citations

2.1K

Authors

929

Institutions

Publications per year

2017–2026

182

Authors

2.1K

  1. PC
    Peter C. Fishburn

    AT&T (United States), United States

    12 publications · 3.1K citations

    12

    h-index

  2. PP
    Peter P. Wakker

    Erasmus University Rotterdam, Netherlands

    10 publications · 574 citations

    10

    h-index

  3. JQ
    John Quiggin

    The University of Queensland, Australia

    8 publications · 4.1K citations

    8

    h-index

  4. IK
    Ioannis Karatzas

    Columbia University, United States

    8 publications · 2K citations

    8

    h-index

  5. BB
    Bruce Bueno de Mesquita

    New York University, United States

    7 publications · 489 citations

    7

    h-index

1–5 of 2.1K

Venues

  1. SSRN Electronic Journal

    Repository · 47 publications · 2.3K citations

    23

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  2. Econometrica

    27 publications · 9.8K citations

    23

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  3. American Journal of Agricultural Economics

    22 publications · 4.8K citations

    20

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  4. Management Science

    28 publications · 1.7K citations

    19

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  5. American Economic Review

    19 publications · 5.1K citations

    18

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1–5