Concepedia

Regression-based Experience Rating

Regression-Based Experience Rating is a statistical methodology within the field of actuarial science that distinguishes itself by employing regression analysis to adjust insurance premium rates based on historical claims data, thereby enabling more precise risk assessment relative to traditional experience rating techniques.

4

Publications

177

Citations

5

Authors

2

Institutions

Publications per year

2017–2026

0

Parents

Publications

4

1–4 of 4

Authors

5

  1. CF
    Clemens Fuest

    Ifo Institute for Economic Research, Germany

    1 publications · 12 citations

    1

    h-index

  2. WH
    Werner Hürlimann

    Winterthur Museum Garden and Library, United States

    1 publications · 23 citations

    1

    h-index

  3. FA
    Frank A. Sloan

    Duke University, United States

    1 publications · 47 citations

    1

    h-index

  4. JF
    Julia Fath

    University of Cologne, Germany

    1 publications · 12 citations

    1

    h-index

  5. RT
    Robert Topel

    University of Chicago, United States

    1 publications · 95 citations

    1

    h-index

1–5 of 5

Institutions

2

  1. Vanderbilt Health

    Nashville, United States

    1 h-index

    1 publications

    47 citations

  2. Vanderbilt University

    Nashville, United States

    1 h-index

    1 publications

    47 citations

1–2 of 2

Venues

  1. Insurance Mathematics and Economics

    1 publications · 23 citations

    1

    h-index

  2. Econstor (Econstor)

    Repository · 1 publications · 12 citations

    1

    h-index

  3. The Journal of Law and Economics

    JLE · 1 publications · 95 citations

    1

    h-index

  4. PubMed

    Repository · 1 publications · 47 citations

    1

    h-index

1–4