Linear Regression Specification

Linear Regression Specification is a methodological framework within the broader class of model specification techniques that formally defines the functional form, variable selection, and assumptions underlying a linear regression model to ensure valid inference and prediction.

92

Publications

11.4K

Citations

172

Authors

134

Institutions

Publications per year

2017–2026

23

Authors

172

  1. JG
    Jerry G. Thursby

    Georgia Institute of Technology, United States

    4 publications · 334 citations

    4

    h-index

  2. JB
    James B. Ramsey

    New York University, United States

    3 publications · 3.5K citations

    3

    h-index

  3. PF
    Pietro F. Peretto

    Duke University, United States

    2 publications · 100 citations

    2

    h-index

  4. MM
    Magne Mogstad

    University of Chicago, United States

    2 publications · 86 citations

    2

    h-index

  5. MW
    Matthew Wiswall

    Arizona State University, United States

    2 publications · 86 citations

    2

    h-index

1–5 of 172

Venues

  1. Journal of the American Statistical Association

    10 publications · 1.1K citations

    10

    h-index

  2. SSRN Electronic Journal

    Repository · 6 publications · 226 citations

    6

    h-index

  3. Journal of Econometrics

    3 publications · 172 citations

    3

    h-index

  4. Applied Economics

    3 publications · 188 citations

    3

    h-index

  5. RePEc: Research Papers in Economics

    Repository · 2 publications · 27 citations

    2

    h-index

1–5