Mixed-frequency Models

Mixed-Frequency Models is a class of econometric frameworks that integrate data sampled at different frequencies within a single time series model to improve estimation and forecasting accuracy.

176

Publications

9.3K

Citations

304

Authors

221

Institutions

Publications per year

2017–2026

76

Variants

Midas Models

Authors

304

  1. MM
    Massimiliano Marcellino

    Bocconi University, Italy

    18 publications · 1.4K citations

    16

    h-index

  2. CF
    Claudia Foroni

    Bocconi University, Italy

    8 publications · 352 citations

    9

    h-index

  3. ÉG
    Éric Ghysels

    University of North Carolina at Chapel Hill, United States

    7 publications · 472 citations

    7

    h-index

  4. PZ
    Peter Zadrozny

    Bureau of Labor Statistics, United States

    6 publications · 146 citations

    6

    h-index

  5. LM
    Libero Monteforte

    Bank of Italy, Italy

    6 publications · 519 citations

    6

    h-index

1–5 of 304

Venues

  1. SSRN Electronic Journal

    Repository · 29 publications · 1.2K citations

    20

    h-index

  2. International Journal of Forecasting

    16 publications · 1.1K citations

    16

    h-index

  3. Journal of Forecasting

    10 publications · 518 citations

    10

    h-index

  4. Journal of Econometrics

    9 publications · 570 citations

    9

    h-index

  5. Journal of Applied Econometrics

    8 publications · 193 citations

    8

    h-index

1–5