Lagrange Multiplier Tests

Lagrange Multiplier Tests is a statistical hypothesis testing method in spatial econometrics that assesses the presence of spatial dependence—such as spatial autocorrelation or spatial heteroskedasticity—by evaluating the sensitivity of model parameter estimates to omitted spatial structures under the null hypothesis of no spatial effects.

353

Publications

59.9K

Citations

501

Authors

306

Institutions

Publications per year

2017–2026

38

Authors

501

  1. TT
    Timo Teräsvirta

    Stockholm School of Economics, Sweden

    12 publications · 1.2K citations

    12

    h-index

  2. DW
    Donald W. K. Andrews

    Yale University, United States

    11 publications · 5K citations

    11

    h-index

  3. BH
    Badi H. Baltagi

    Syracuse University, United States

    11 publications · 2K citations

    11

    h-index

  4. RS
    Russell Smyth

    Monash University, Australia

    10 publications · 418 citations

    10

    h-index

  5. ML
    Maxwell L. King

    Monash University, Australia

    8 publications · 444 citations

    8

    h-index

1–5 of 501

Venues

  1. Econometrica

    17 publications · 14K citations

    17

    h-index

  2. Econometric Reviews

    17 publications · 1.5K citations

    16

    h-index

  3. SSRN Electronic Journal

    Repository · 16 publications · 8.7K citations

    15

    h-index

  4. Econometric Theory

    18 publications · 1.3K citations

    15

    h-index

  5. RePEc: Research Papers in Economics

    Repository · 16 publications · 1.6K citations

    13

    h-index

1–5