Maxmin Expected Utility

Maxmin Expected Utility is a decision theory model that, within the class of models for decision-making under ambiguity, is distinguished by its specification that an agent evaluates uncertain prospects by the minimum expected utility across a set of plausible probability distributions, thereby capturing ambiguity aversion.

65

Publications

7.9K

Citations

107

Authors

92

Institutions

Publications per year

2017–2026

16

Variants

Maxmin Expected Utility Model

Authors

107

  1. PK
    Peter Klibanoff

    Northwestern University, United States

    4 publications · 307 citations

    4

    h-index

  2. SM
    Sujoy Mukerji

    University of Oxford, United Kingdom

    4 publications · 144 citations

    4

    h-index

  3. DS
    David Schmeidler

    Tel Aviv University, Israel

    4 publications · 4.9K citations

    4

    h-index

  4. IG
    Itzhak Gilboa

    Tel Aviv University, Israel

    3 publications · 4.9K citations

    3

    h-index

  5. EO
    Emre Ozdenoren

    University of Michigan, United States

    2 publications · 144 citations

    2

    h-index

1–5 of 107

Venues

  1. Journal of Economic Theory

    JET · 6 publications · 257 citations

    6

    h-index

  2. Econometrica

    6 publications · 213 citations

    6

    h-index

  3. Journal of Risk and Uncertainty

    3 publications · 264 citations

    3

    h-index

  4. International Journal of Game Theory

    3 publications · 39 citations

    3

    h-index

  5. Econstor (Econstor)

    Repository · 3 publications · 63 citations

    3

    h-index

1–5