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A Multi-Model, Ensemble Approach to Forecasting United States Food Prices

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  • Liang, Weifang
  • Liu, Yong
  • Somogyi, Simon
  • Anderson, David P.

Abstract

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Suggested Citation

  • Liang, Weifang & Liu, Yong & Somogyi, Simon & Anderson, David P., 2024. "A Multi-Model, Ensemble Approach to Forecasting United States Food Prices," 2024 Annual Meeting, July 28-30, New Orleans, LA 343687, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea22:343687
    DOI: 10.22004/ag.econ.343687
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    References listed on IDEAS

    as
    1. Peter R. Winters, 1960. "Forecasting Sales by Exponentially Weighted Moving Averages," Management Science, INFORMS, vol. 6(3), pages 324-342, April.
    2. MacLachlan, Matthew & Chelius, Carolyn & Short, Gianna, 2022. "Time-Series Methods for Forecasting and Modeling Uncertainty in the Food Price Outlook," USDA Miscellaneous 327370, United States Department of Agriculture.
    3. MacLachlan, Matthew & Chelius, Carolyn & Short, Gianna, 2022. "Time-Series Methods for Forecasting and Modeling Uncertainty in the Food Price Outlook," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, vol. 2022(Technical), August.
    4. Racine, Jeff & Li, Qi, 2004. "Nonparametric estimation of regression functions with both categorical and continuous data," Journal of Econometrics, Elsevier, vol. 119(1), pages 99-130, March.
    5. MacLachlan, Matthew & Chelius, Carolyn & Short, Gianna, 2022. "Time-Series Methods for Forecasting and Modeling Uncertainty in the Food Price Outlook," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, vol. 2022(Technical), August.
    6. Pawlikowski, Maciej & Chorowska, Agata, 2020. "Weighted ensemble of statistical models," International Journal of Forecasting, Elsevier, vol. 36(1), pages 93-97.
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