Parameter Stability Testing

Parameter Stability Testing is a statistical methodology used in econometrics and time series analysis to determine whether the parameters of a model remain constant over time, distinguishing it from other diagnostic tests by specifically assessing the constancy of estimated coefficients across different subsets of data.

118

Publications

14K

Citations

194

Authors

140

Institutions

Publications per year

2017–2026

10

Variants

Parameter Constancy Testing

Authors

194

  1. JH
    James H. Stock

    Harvard University, United States

    5 publications · 950 citations

    5

    h-index

  2. MW
    Mark W. Watson

    Princeton University, United States

    4 publications · 564 citations

    4

    h-index

  3. RI
    Roula Inglesi‐Lotz

    University of Pretoria, South Africa

    3 publications · 112 citations

    3

    h-index

  4. MB
    Mehmet Balcılar

    Eastern Mediterranean University, Cyprus

    3 publications · 112 citations

    3

    h-index

  5. DW
    Donald W. K. Andrews

    Yale University, United States

    3 publications · 4.4K citations

    3

    h-index

1–5 of 194

Venues

  1. Econometrica

    7 publications · 5.4K citations

    7

    h-index

  2. 6

    h-index

  3. Journal of Applied Econometrics

    5 publications · 466 citations

    5

    h-index

  4. Journal of Econometrics

    5 publications · 168 citations

    5

    h-index

  5. Applied Economics

    5 publications · 117 citations

    5

    h-index

1–5