Severity Decomposition

Severity Decomposition is a methodological framework within experience rating that decomposes the expected cost of insurance claims into frequency and severity components, specifically isolating the severity aspect by analyzing the distribution and magnitude of individual losses to enable more accurate risk assessment and premium differentiation.

18

Publications

1.2K

Citations

39

Authors

26

Institutions

Publications per year

2017–2026

8

Authors

39

  1. PS
    Peng Shi

    University of Wisconsin–Madison, United States

    2 publications · 128 citations

    2

    h-index

  2. DG
    Deborah G. Mayo

    Virginia Tech, United States

    2 publications · 193 citations

    2

    h-index

  3. JW
    James W. Bush

    University of California San Diego, United States

    1 publications · 420 citations

    1

    h-index

  4. JA
    James A. Powell

    Utah State University, United States

    1 publications · 22 citations

    1

    h-index

  5. ZA
    Zakaria Aldeneh

    University of Michigan, United States

    1 publications · 14 citations

    1

    h-index

1–5 of 39

Venues

  1. Insurance Mathematics and Economics

    2 publications · 128 citations

    2

    h-index

  2. Astin Bulletin

    2 publications · 134 citations

    2

    h-index

  3. Social Indicators Research

    1 publications · 19 citations

    1

    h-index

  4. Psychiatry Research

    1 publications · 28 citations

    1

    h-index

  5. Journal of Risk & Insurance

    1 publications · 11 citations

    1

    h-index

1–5