Difference-curve Models

Difference-Curve Models is a statistical modeling framework within age-period-cohort analysis that isolates cohort effects by representing them as deviations from a reference cohort through difference curves, distinguishing it from other APC models by explicitly modeling relative changes across cohorts rather than estimating absolute cohort effects.

16

Publications

1.1K

Citations

64

Authors

29

Institutions

Publications per year

2017–2026

2

Authors

64

  1. MH
    Masahisa Hirakawa

    Okayama University, Japan

    1 publications · 12 citations

    1

    h-index

  2. BW
    B. W. Roberts

    General Electric (United States), United States

    1 publications · 14 citations

    1

    h-index

  3. JA
    Junichi Araki

    Okayama University, Japan

    1 publications · 12 citations

    1

    h-index

  4. YJ
    Yufan Ji

    Nanjing Tech University, China

    1 publications · 19 citations

    1

    h-index

  5. HQ
    Honglei Qin

    Beihang University, China

    1 publications · 30 citations

    1

    h-index

1–5 of 64

Venues

  1. Folia Phoniatrica et Logopaedica

    1 publications · 27 citations

    1

    h-index

  2. Public Choice

    1 publications · 570 citations

    1

    h-index

  3. 1

    h-index

  4. Journal of Applied Physics

    1 publications · 14 citations

    1

    h-index

  5. IET Signal Processing

    1 publications · 20 citations

    1

    h-index

1–5