Estimating Price Variability in Agriculture: Implications for Decision Makers

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 1998–2006 period. Increased planting flexibility introduced in the 1996 farm...

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Bibliographic Details
Published inJournal of agricultural and applied economics Vol. 30; no. 1; pp. 21 - 33
Main Authors Ray, Daryll E., Richardson, James W., De La Torre Ugarte, Daniel G., Tiller, Kelly H.
Format Journal Article
LanguageEnglish
Published New York, USA Cambridge University Press 01.07.1998
Southern Agricultural Economics Association
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Summary: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 1998–2006 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 1986–96 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.
Bibliography:1997094634
U10
D50
E70
PII:S1074070800008014
istex:01781C35D60D2D9BE63E9DABCA8D000A5278E0B6
ArticleID:00801
ark:/67375/6GQ-WXNXBQQ9-F
ISSN:1074-0708
2056-7405
1074-0708
DOI:10.1017/S1074070800008014