Mixed Gambles

Mixed Gambles is a theoretical construct in decision science that refers to a choice scenario involving both potential gains and losses, distinguished by its role in eliciting loss aversion through asymmetric risk preferences when outcomes of opposing valences are presented simultaneously.

196

Publications

11.3K

Citations

494

Authors

273

Institutions

Publications per year

2017–2026

34

Authors

494

  1. AR
    Amnon Rapoport

    University of Arizona, United States

    5 publications · 76 citations

    5

    h-index

  2. PC
    Peter C. Fishburn

    AT&T (United States), United States

    4 publications · 179 citations

    4

    h-index

  3. GK
    Gideon Keren

    Eindhoven University of Technology, Netherlands

    4 publications · 212 citations

    4

    h-index

  4. RD
    R. Duncan Luce

    University of California, Irvine, United States

    3 publications · 113 citations

    3

    h-index

  5. OT
    Oliver Turnbull

    Bangor University, United Kingdom

    3 publications · 264 citations

    3

    h-index

1–5 of 494

Venues

  1. Journal of Gambling Studies

    29 publications · 1.3K citations

    22

    h-index

  2. Journal of Mathematical Psychology

    7 publications · 516 citations

    7

    h-index

  3. Journal of Experimental Psychology

    7 publications · 457 citations

    7

    h-index

  4. Management Science

    6 publications · 1.1K citations

    6

    h-index

  5. Journal of Risk and Uncertainty

    7 publications · 251 citations

    6

    h-index

1–5