Chow Test

The Chow Test is a statistical hypothesis test used in econometrics to determine whether the coefficients in two linear regressions on different data sets are equal, thereby identifying the presence of a structural break at a known point in time.

171

Publications

8.4K

Citations

427

Authors

222

Institutions

Publications per year

2017–2026

40

Variants

Chow's Test

Authors

427

  1. JG
    Jerry G. Thursby

    Georgia Institute of Technology, United States

    3 publications · 74 citations

    3

    h-index

  2. MG
    Mark Gius

    Quinnipiac University, United States

    3 publications · 111 citations

    3

    h-index

  3. SB
    ShefaliA Batra

    King Edward Memorial Hospital and Seth G.S. Medical College, India

    2 publications · 28 citations

    2

    h-index

  4. MM
    Mukhtar M. Ali

    University of Kentucky, United States

    2 publications · 39 citations

    2

    h-index

  5. SW
    Samaradasa Weerahandi

    Core Competence, United States

    2 publications · 108 citations

    2

    h-index

1–5 of 427

Venues

  1. The American Statistician

    5 publications · 445 citations

    5

    h-index

  2. 5

    h-index

  3. Econometrica

    4 publications · 368 citations

    4

    h-index

  4. Applied Economics Letters

    3 publications · 108 citations

    3

    h-index

  5. Economics Letters

    3 publications · 167 citations

    3

    h-index

1–5