Disaggregation Forecasting

Disaggregation Forecasting is a hierarchical forecasting method that generates forecasts at a disaggregated level by distributing aggregate predictions according to estimated proportions or constraints, distinguished from other methods by its top-down reconciliation approach based on forecasted or historical proportions.

45

Publications

1.6K

Citations

109

Authors

64

Institutions

Publications per year

2017–2026

9

Variants

Top-down Forecasting

Authors

109

  1. DF
    David F. Hendry

    University of Oxford, United Kingdom

    5 publications · 301 citations

    5

    h-index

  2. KH
    Kirstin Hubrich

    Federal Reserve Board of Governors, United States

    4 publications · 271 citations

    4

    h-index

  3. OD
    Olivier Darné

    Nantes Université, France

    3 publications · 154 citations

    3

    h-index

  4. FR
    Francesco Ravazzolo

    BI Norwegian Business School, Norway

    3 publications · 116 citations

    3

    h-index

  5. LF
    Laurent Ferrara

    Banque de France, France

    3 publications · 154 citations

    3

    h-index

1–5 of 109

Venues

  1. Journal of Forecasting

    5 publications · 302 citations

    5

    h-index

  2. SSRN Electronic Journal

    Repository · 5 publications · 170 citations

    5

    h-index

  3. International Journal of Forecasting

    3 publications · 95 citations

    3

    h-index

  4. Journal of Hydrology

    2 publications · 103 citations

    2

    h-index

  5. Applied Soft Computing

    2 publications · 46 citations

    2

    h-index

1–5