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

Byoung-Hoon Lee, Philip L. Kenkel and B Brorsen

No 98829, 2011 Annual Meeting, February 5-8, 2011, Corpus Christi, Texas from Southern Agricultural Economics Association

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.

Keywords: Agribusiness; Environmental Economics and Policy; Farm Management; Production Economics; Productivity Analysis; Risk and Uncertainty (search for similar items in EconPapers)
Pages: 44
Date: 2011
New Economics Papers: this item is included in nep-agr and nep-for
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/98829/files/wheat_projection%20corrected.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ags:saea11:98829

DOI: 10.22004/ag.econ.98829

Access Statistics for this paper

More papers in 2011 Annual Meeting, February 5-8, 2011, Corpus Christi, Texas from Southern Agricultural Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().