Estimating Price Variability in Agriculture: Implications for Decision Makers
Daryll E. Ray,
James Richardson (),
Daniel De La Torre Ugarte () and
Kelly H. Tiller
Journal of Agricultural and Applied Economics, 1998, vol. 30, issue 1, 21-33
Using a stochastic version of the POLYSYS modeling framework, an examination of projected variability in agricultural prices, supply, demand, stocks, and incomes is conducted for corn, wheat, soybeans, and cotton during the 1998â€“2006 period. Increased planting flexibility introduced in the 1996 farm bill results in projections of significantly higher planted acreage variability compared to recent historical levels. Variability of ending stocks and stock-to-use ratios is projected to be higher for corn and soybeans and lower for wheat and cotton compared to the 1986â€“96 period. Significantly higher variability is projected for corn prices, with wheat and soybean prices also being more variable. No significant change in cotton price variability is projected.
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Journal Article: ESTIMATING PRICE VARIABILITY IN AGRICULTURE: IMPLICATIONS FOR DECISION MAKERS (1998)
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Persistent link: https://EconPapers.repec.org/RePEc:cup:jagaec:v:30:y:1998:i:01:p:21-33_00
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