Econometric Forecasting Models

Econometric Forecasting Models is a statistical modeling approach that employs established economic theories and historical data relationships to predict future cash flows, distinguished by its reliance on rigorously estimated econometric equations and causal inference.

3.3K

Publications

252.2K

Citations

5.2K

Authors

1.9K

Institutions

Publications per year

2017–2026

742

Authors

5.2K

  1. DF
    David F. Hendry

    University of Oxford, United Kingdom

    50 publications · 7.7K citations

    34

    h-index

  2. NR
    Norman R. Swanson

    Rutgers, The State University of New Jersey, United States

    21 publications · 1.7K citations

    16

    h-index

  3. RG
    Rangan Gupta

    University of Pretoria, South Africa

    25 publications · 701 citations

    16

    h-index

  4. LR
    Lawrence R. Klein

    University of Pennsylvania, United States

    17 publications · 822 citations

    16

    h-index

  5. MP
    Michael P. Clements

    University of Warwick, United Kingdom

    17 publications · 2.1K citations

    15

    h-index

1–5 of 5.2K

Venues

  1. SSRN Electronic Journal

    Repository · 252 publications · 9.9K citations

    50

    h-index

  2. Journal of the American Statistical Association

    77 publications · 12.2K citations

    43

    h-index

  3. International Journal of Forecasting

    97 publications · 6.2K citations

    42

    h-index

  4. Econometrica

    53 publications · 12.4K citations

    40

    h-index

  5. Journal of Forecasting

    110 publications · 4.2K citations

    36

    h-index

1–5