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Pre-harvest Forecasting of County Wheat Yield and Wheat Quality Conditional on Weather Information

Author

Listed:
  • Lee, Byoung-Hoon
  • Kenkel, Philip L.
  • Brorsen, B. Wade

Abstract

Wheat regression models that account for the effect of weather are developed to forecast wheat yield and quality. Spatial lag effects are included. Wheat yield, protein, and test weight level are strongly influenced by weather variables. The forecasting power of the yield and protein models was enhanced by adding the spatial lag effect. Out of sample forecasting tests confirm the models’ usefulness in accounting for the variations in average wheat yield and qualities.

Suggested Citation

  • Lee, Byoung-Hoon & Kenkel, Philip L. & Brorsen, B. Wade, 2011. "Pre-harvest Forecasting of County Wheat Yield and Wheat Quality Conditional on Weather Information," 2011 Annual Meeting, February 5-8, 2011, Corpus Christi, Texas 98829, Southern Agricultural Economics Association.
    • Handle: RePEc:ags:saea11:98829
    DOI: 10.22004/ag.econ.98829
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    Keywords

    Agribusiness; Environmental Economics and Policy; Farm Management; Production Economics; Productivity Analysis; Risk and Uncertainty;
    All these keywords.

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