Aggregate Forecasting

Aggregate Forecasting is a forecasting method that estimates total demand across multiple products, regions, or time periods by consolidating individual-level data into a higher-level summary, thereby enabling more stable and less volatile predictions than individual item forecasts.

195

Publications

12.5K

Citations

369

Authors

216

Institutions

Publications per year

2017–2026

34

Authors

369

  1. GC
    George C. Tiao

    University of Wisconsin–Madison, United States

    5 publications · 348 citations

    5

    h-index

  2. KH
    Kirstin Hubrich

    Federal Reserve Board of Governors, United States

    5 publications · 289 citations

    5

    h-index

  3. DF
    David F. Hendry

    University of Oxford, United Kingdom

    5 publications · 289 citations

    5

    h-index

  4. HL
    Helmut Lütkepohl

    Humboldt-Universität zu Berlin, Germany

    6 publications · 256 citations

    5

    h-index

  5. RJ
    Rob J. Hyndman

    Monash University, Australia

    4 publications · 556 citations

    4

    h-index

1–5 of 369

Venues

  1. International Journal of Production Economics

    11 publications · 1K citations

    11

    h-index

  2. Journal of Forecasting

    12 publications · 336 citations

    11

    h-index

  3. SSRN Electronic Journal

    Repository · 13 publications · 752 citations

    11

    h-index

  4. International Journal of Forecasting

    9 publications · 398 citations

    9

    h-index

  5. Management Science

    5 publications · 1K citations

    5

    h-index

1–5