Attenuation Bias

Attenuation Bias is a systematic error in parameter estimation arising in regression analysis when measurement error in an independent variable leads to biased estimates that are attenuated toward zero, reducing the magnitude of the observed relationship between variables.

83

Publications

5.8K

Citations

214

Authors

167

Institutions

Publications per year

2017–2026

26

Variants

Regression Dilution

Authors

214

  1. RD
    Ruud de Mooij

    International Monetary Fund, United States

    5 publications · 160 citations

    5

    h-index

  2. RR
    Roberto Rigobón

    Massachusetts Institute of Technology, United States

    4 publications · 205 citations

    4

    h-index

  3. RJ
    Raymond J. Carroll

    Texas A&M University, United States

    2 publications · 356 citations

    3

    h-index

  4. AP
    Anna Pavlova

    London Business School, United Kingdom

    3 publications · 132 citations

    3

    h-index

  5. FB
    Florian Berg

    Norwegian Institute of Marine Research, Norway

    3 publications · 132 citations

    3

    h-index

1–5 of 214

Venues

  1. SSRN Electronic Journal

    Repository · 11 publications · 331 citations

    11

    h-index

  2. Psychological Bulletin

    3 publications · 53 citations

    3

    h-index

  3. Statistics in Medicine

    3 publications · 118 citations

    3

    h-index

  4. Biometrika

    2 publications · 61 citations

    2

    h-index

  5. Econstor (Econstor)

    Repository · 1 publications · 28 citations

    2

    h-index

1–5