Disability Data Bias

Disability Data Bias is a systematic error or distortion in the collection, representation, or analysis of data pertaining to individuals with disabilities, arising from flawed assumptions, exclusionary practices, or non-representative sampling that skews outcomes and undermines the validity and equity of findings within disability-related research and applications.

14

Publications

1K

Citations

35

Authors

21

Institutions

Publications per year

2017–2026

3

Authors

35

  1. HB
    Hugo Benı́tez-Silva

    Stony Brook University, United States

    4 publications · 306 citations

    4

    h-index

  2. MB
    Moshe Buchinsky

    University of California, Los Angeles, United States

    4 publications · 306 citations

    4

    h-index

  3. JR
    John Rust

    Georgetown University, United States

    4 publications · 306 citations

    4

    h-index

  4. SC
    Sofia Cheidvasser

    Stony Brook University, United States

    4 publications · 306 citations

    4

    h-index

  5. HM
    Hiu Man Chan

    Centre de Recherche en Économie et Statistique, France

    3 publications · 286 citations

    3

    h-index

1–5 of 35

Venues

  1. RePEc: Research Papers in Economics

    Repository · 2 publications · 32 citations

    2

    h-index

  2. Journal of Applied Econometrics

    1 publications · 227 citations

    1

    h-index

  3. New Zealand Medical Journal

    1 publications · 41 citations

    1

    h-index

  4. Econstor (Econstor)

    Repository · 1 publications · 12 citations

    1

    h-index

  5. Universal Access in the Information Society

    1 publications · 37 citations

    1

    h-index

1–5