Forecast Model Comparison

Forecast Model Comparison is a systematic analytical method used in forecast error analysis to evaluate and contrast the predictive accuracy and performance of different forecasting models under specified conditions, distinguishing it from other contributions by its focus on relative model assessment rather than model development or error measurement per se.

504

Publications

29.4K

Citations

1.3K

Authors

609

Institutions

Publications per year

2017–2026

136

Authors

1.3K

  1. MW
    Michael W. McCracken

    Federal Reserve Bank of St. Louis, United States

    8 publications · 282 citations

    8

    h-index

  2. JS
    J. Scott Armstrong

    University of Pennsylvania, United States

    6 publications · 402 citations

    6

    h-index

  3. TE
    Todd E. Clark

    Federal Reserve Bank of Cleveland, United States

    6 publications · 235 citations

    6

    h-index

  4. MM
    Massimiliano Marcellino

    Bocconi University, Italy

    4 publications · 385 citations

    4

    h-index

  5. CZ
    Christina Ziegler

    Ifo Institute for Economic Research, Germany

    4 publications · 63 citations

    4

    h-index

1–5 of 1.3K

Venues

  1. Journal of Forecasting

    32 publications · 2.2K citations

    22

    h-index

  2. Weather and Forecasting

    18 publications · 789 citations

    16

    h-index

  3. SSRN Electronic Journal

    Repository · 28 publications · 610 citations

    16

    h-index

  4. 15

    h-index

  5. Monthly Weather Review

    19 publications · 1.3K citations

    14

    h-index

1–5