Census Imputation

Census Imputation is a statistical technique used in population enumeration that belongs to the class of data imputation methods, distinguished by its specific application to estimating missing or inconsistent responses in census records through contextually appropriate, often geographically and demographically informed, predictive algorithms.

38

Publications

2.8K

Citations

95

Authors

51

Institutions

Publications per year

2017–2026

4

Authors

95

  1. ME
    Michael E. Samuhel

    University of Wisconsin–Madison, United States

    2 publications · 149 citations

    2

    h-index

  2. NS
    Nathaniel Schenker

    National Center for Health Statistics, United States

    2 publications · 40 citations

    2

    h-index

  3. DJ
    Donald J. Treiman

    University of California, Los Angeles, United States

    2 publications · 53 citations

    2

    h-index

  4. FP
    Francis P. Boscoe

    New York State Department of Health, United States

    2 publications · 108 citations

    2

    h-index

  5. JM
    John M. Abowd

    Cornell University, United States

    2 publications · 160 citations

    2

    h-index

1–5 of 95

Venues

  1. 5

    h-index

  2. 2

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  3. International Journal of Population Geography

    IJPG · 2 publications · 39 citations

    2

    h-index

  4. RePEc: Research Papers in Economics

    Repository · 2 publications · 1.2K citations

    2

    h-index

  5. Health Services Research

    HSR · 2 publications · 58 citations

    2

    h-index

1–5