Census Error Measurement

Census Error Measurement is a methodological framework within demographic data analysis that quantifies discrepancies between observed census data and true population values by identifying and assessing systematic and random errors arising from coverage, content, and non-response biases in the enumeration process.

60

Publications

2.2K

Citations

114

Authors

63

Institutions

Publications per year

2017–2026

5

Authors

114

  1. KM
    Kirk M. Wolter

    United States Census Bureau, United States

    3 publications · 236 citations

    3

    h-index

  2. DF
    David Fein

    Abt Global (United States), United States

    2 publications · 55 citations

    2

    h-index

  3. MZ
    Melvin Zelnik

    Johns Hopkins University, United States

    2 publications · 40 citations

    2

    h-index

  4. BJ
    Benjamin J. Tepping

    United States Census Bureau, United States

    2 publications · 27 citations

    2

    h-index

  5. SS
    Seth Spielman

    University of Colorado Boulder, United States

    2 publications · 102 citations

    2

    h-index

1–5 of 114

Venues

  1. Journal of the American Statistical Association

    13 publications · 571 citations

    12

    h-index

  2. Demography

    8 publications · 171 citations

    8

    h-index

  3. Journal of Official Statistics

    JOS · 3 publications · 50 citations

    3

    h-index

  4. Science Advances

    2 publications · 57 citations

    2

    h-index

  5. Economics Letters

    2 publications · 46 citations

    2

    h-index

1–5