An Analysis Of The Impact Of Enso (El Nino/Southern Oscillation) On Global Crop Yields
AbstractForecasts of global crop yields prior to planting have generally been single values, based on entirely past trends. Regression analysis testing a combination of data from ENSO (El Nino/Southern Oscillation) and ARMA models suggests that yield forecasting errors can be reduced, generating more normal distributions of these errors.
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Bibliographic InfoPaper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 1999 Annual meeting, August 8-11, Nashville, TN with number 21517.
Date of creation: 1999
Date of revision:
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Crop Production/Industries; Resource /Energy Economics and Policy; Risk and Uncertainty;
Other versions of this item:
- Ferris, John N., 1999. "An Analysis Of The Impact Of Enso (El Nino/Southern Oscillation) On Global Crop Yields," Staff Papers 11741, Michigan State University, Department of Agricultural, Food, and Resource Economics.
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- Richard M. Adams & Kelly J. Bryant & Bruce A. Mccarl & David M. Legler & James O'Brien & Andrew Solow & Rodney Weiher, 1995. "Value Of Improved Long-Range Weather Information," Contemporary Economic Policy, Western Economic Association International, vol. 13(3), pages 10-19, 07.
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