Stochastic Discounting

Stochastic Discounting is a dynamic discounting framework in intertemporal choice theory that generalizes deterministic models by allowing time preferences to evolve stochastically over time, thereby capturing uncertainty in future discount rates and addressing time inconsistency under probabilistic belief updating.

317

Publications

23.5K

Citations

588

Authors

339

Institutions

Publications per year

2017–2026

47

Authors

588

  1. LG
    Leonard Green

    Washington University in St. Louis, United States

    9 publications · 2.6K citations

    9

    h-index

  2. CG
    Christian Gollier

    Toulouse School of Economics, France

    9 publications · 900 citations

    9

    h-index

  3. JM
    Joel Myerson

    Washington University in St. Louis, United States

    8 publications · 2.5K citations

    8

    h-index

  4. BG
    Ben Groom

    London School of Economics and Political Science, United Kingdom

    6 publications · 531 citations

    6

    h-index

  5. AJ
    Anna Jaśkiewicz

    Wrocław University of Science and Technology, Poland

    6 publications · 113 citations

    6

    h-index

1–5 of 588

Venues

  1. Behavioural Processes

    16 publications · 1.4K citations

    14

    h-index

  2. SSRN Electronic Journal

    Repository · 15 publications · 453 citations

    12

    h-index

  3. Journal of Economic Theory

    JET · 10 publications · 1.3K citations

    10

    h-index

  4. The Psychological Record

    8 publications · 915 citations

    8

    h-index

  5. RePEc: Research Papers in Economics

    Repository · 7 publications · 267 citations

    7

    h-index

1–5