Utility Function Estimation

Utility Function Estimation is a methodological construct in decision theory that specifies procedures for inferring the mathematical representation of an individual's preferences over risky prospects, distinguished by its focus on quantifying subjective utilities from observed choices or elicited judgments.

1.2K

Publications

85.5K

Citations

2.4K

Authors

1K

Institutions

Publications per year

2017–2026

189

Authors

2.4K

  1. RL
    Ralph L. Keeney

    University of Southern California, United States

    7 publications · 646 citations

    7

    h-index

  2. PP
    Peter P. Wakker

    Erasmus University Rotterdam, Netherlands

    7 publications · 865 citations

    7

    h-index

  3. GW
    Glenn W. Harrison

    Georgia State University, United States

    6 publications · 303 citations

    6

    h-index

  4. DA
    David A. Hensher

    The University of Sydney, Australia

    6 publications · 332 citations

    6

    h-index

  5. MA
    Manuel Arriaza

    Andalusian Institute of Agricultural and Fisheries Research and Training, Spain

    5 publications · 173 citations

    5

    h-index

1–5 of 2.4K

Venues

  1. Management Science

    28 publications · 5.3K citations

    26

    h-index

  2. Econometrica

    22 publications · 6.6K citations

    22

    h-index

  3. SSRN Electronic Journal

    Repository · 44 publications · 1.2K citations

    21

    h-index

  4. The Review of Economics and Statistics

    20 publications · 1.5K citations

    18

    h-index

  5. American Journal of Agricultural Economics

    18 publications · 1.6K citations

    17

    h-index

1–5