Commodity Price Modeling

Commodity Price Modeling is a computational or statistical framework designed to represent and predict the price dynamics of primary goods by integrating market fundamentals, historical price patterns, and external economic indicators within the domain of commodity price forecasting.

563

Publications

31K

Citations

1.1K

Authors

605

Institutions

Publications per year

2017–2026

181

Authors

1.1K

  1. KR
    Kenneth Rogoff

    Harvard University, United States

    8 publications · 1.3K citations

    8

    h-index

  2. WC
    Walter C. Labys

    West Virginia University, United States

    8 publications · 243 citations

    8

    h-index

  3. XX
    Xiaojie Xu

    North Carolina State University, United States

    7 publications · 457 citations

    7

    h-index

  4. AD
    Angus Deaton

    Princeton University, United States

    6 publications · 2K citations

    6

    h-index

  5. DS
    David Sapsford

    Lancaster University, United Kingdom

    5 publications · 131 citations

    5

    h-index

1–5 of 1.1K

Venues

  1. SSRN Electronic Journal

    Repository · 38 publications · 1.3K citations

    22

    h-index

  2. Energy Economics

    18 publications · 1.3K citations

    17

    h-index

  3. American Journal of Agricultural Economics

    21 publications · 1.1K citations

    17

    h-index

  4. Resources Policy

    20 publications · 741 citations

    16

    h-index

  5. RePEc: Research Papers in Economics

    Repository · 13 publications · 314 citations

    12

    h-index

1–5