Forecast Encompassing Tests

Forecast Encompassing Tests is a statistical methodology used in forecast evaluation that determines whether one forecasting model subsumes the information content of another by testing if the latter’s forecast errors can be predicted using the former’s forecasts, thereby indicating redundancy.

50

Publications

4.4K

Citations

66

Authors

55

Institutions

Publications per year

2017–2026

4

Variants

Forecast Encompassing

Authors

66

  1. TE
    Todd E. Clark

    Federal Reserve Bank of Cleveland, United States

    8 publications · 752 citations

    8

    h-index

  2. MW
    Michael W. McCracken

    Federal Reserve Bank of St. Louis, United States

    7 publications · 740 citations

    7

    h-index

  3. DI
    David I. Harvey

    University of Nottingham, United Kingdom

    6 publications · 1.1K citations

    6

    h-index

  4. PN
    Paul Newbold

    University of Nottingham, United Kingdom

    5 publications · 1.1K citations

    5

    h-index

  5. SJ
    Stephen J. Leybourne

    University of Nottingham, United Kingdom

    3 publications · 939 citations

    3

    h-index

1–5 of 66

Venues

  1. Journal of Forecasting

    9 publications · 643 citations

    9

    h-index

  2. SSRN Electronic Journal

    Repository · 8 publications · 678 citations

    8

    h-index

  3. Journal of Business and Economic Statistics

    JBES · 4 publications · 1.1K citations

    4

    h-index

  4. International Journal of Forecasting

    2 publications · 200 citations

    2

    h-index

  5. Oxford Bulletin of Economics and Statistics

    2 publications · 35 citations

    2

    h-index

1–5