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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Published in | Journal of agricultural and applied economics Vol. 30; no. 1; pp. 21 - 33 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
New York, USA
Cambridge University Press
01.07.1998
Southern Agricultural Economics Association |
Subjects | |
Online Access | Get full text |
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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. |
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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 |