Age Interpolation

Age Interpolation is a demographic estimation technique that belongs to the class of population interpolation methods, specifically distinguished by its focus on reconstructing age-specific population distributions across time and space using mathematical or statistical models to fill gaps in age-structured data.

4

Publications

111

Citations

10

Authors

7

Institutions

Publications per year

2017–2026

0

Authors

10

  1. RA
    Regina A. Shih

    RAND Corporation, United States

    1 publications · 48 citations

    1

    h-index

  2. PS
    Paul Stupp

    Centers for Disease Control and Prevention, United States

    1 publications · 14 citations

    1

    h-index

  3. CB
    Catherine Badgley

    University of Michigan, United States

    1 publications · 37 citations

    1

    h-index

  4. CE
    Christine E. Peterson

    RAND Corporation, United States

    1 publications · 48 citations

    1

    h-index

  5. FL
    Fred L. Bookstein

    University of Michigan, United States

    1 publications · 37 citations

    1

    h-index

1–5 of 10

Venues

  1. American Journal of Human Biology

    1 publications · 12 citations

    1

    h-index

  2. Population Index

    1 publications · 14 citations

    1

    h-index

  3. Population Research and Policy Review

    1 publications · 48 citations

    1

    h-index

  4. Nature

    1 publications · 37 citations

    1

    h-index

1–4