Predictive Econometrics

Predictive Econometrics is a subfield of econometrics that belongs to the broader class of quantitative economic methods, distinguished by its focus on developing and applying statistical models and techniques specifically designed to generate accurate out-of-sample forecasts of economic variables.

1.8K

Publications

150.8K

Citations

2.6K

Authors

1.2K

Institutions

Publications per year

2017–2026

391

Authors

2.6K

  1. DF
    David F. Hendry

    University of Oxford, United Kingdom

    24 publications · 2.2K citations

    19

    h-index

  2. MP
    Michael P. Clements

    University of Warwick, United Kingdom

    19 publications · 2.2K citations

    18

    h-index

  3. NR
    Norman R. Swanson

    Rutgers, The State University of New Jersey, United States

    23 publications · 1.9K citations

    18

    h-index

  4. AT
    Allan Timmermann

    University of California San Diego, United States

    21 publications · 3.2K citations

    18

    h-index

  5. DG
    Domenico Giannone

    Centre for Economic Policy Research, United Kingdom

    17 publications · 3.6K citations

    16

    h-index

1–5 of 2.6K

Venues

  1. SSRN Electronic Journal

    Repository · 217 publications · 9.4K citations

    53

    h-index

  2. Journal of Forecasting

    115 publications · 6.4K citations

    41

    h-index

  3. International Journal of Forecasting

    90 publications · 5.4K citations

    39

    h-index

  4. Journal of Business and Economic Statistics

    JBES · 48 publications · 10.7K citations

    34

    h-index

  5. Journal of Applied Econometrics

    52 publications · 5.5K citations

    31

    h-index

1–5