Actuarial Forecasting

Actuarial Forecasting is a quantitative method in the field of health policy and finance that uses statistical and mathematical models based on historical and current data to project future Medicare program costs, revenues, and enrollment trends under varying assumptions, distinguishing it from other forecasting approaches through its application of actuarial science principles and regulatory standards.

67

Publications

3.2K

Citations

159

Authors

91

Institutions

Publications per year

2017–2026

18

Authors

159

  1. JP
    Jens Perch Nielsen

    City, University of London, United Kingdom

    4 publications · 140 citations

    4

    h-index

  2. RR
    Ronald Richman

    Baylor College of Medicine, United States

    3 publications · 56 citations

    3

    h-index

  3. MD
    Michel Denuit

    UCLouvain, Belgium

    3 publications · 167 citations

    3

    h-index

  4. KC
    KS Chan

    University of Iowa, United States

    2 publications · 29 citations

    2

    h-index

  5. TZ
    Ting Zhang

    Central South University, China

    2 publications · 29 citations

    2

    h-index

1–5 of 159

Venues

  1. Insurance Mathematics and Economics

    7 publications · 243 citations

    7

    h-index

  2. SSRN Electronic Journal

    Repository · 5 publications · 88 citations

    5

    h-index

  3. PubMed

    Repository · 3 publications · 47 citations

    3

    h-index

  4. British Actuarial Journal

    3 publications · 74 citations

    3

    h-index

  5. RePEc: Research Papers in Economics

    Repository · 2 publications · 76 citations

    2

    h-index

1–5