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An Analysis Of The Impact Of Enso (El Nino/Southern Oscillation) On Global Crop Yields

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  • Ferris, John N.

Abstract

Forecasts of global crop yields prior to planting have generally been single values, based entirely on past trends. Regression analysis testing a combination of data from ENSO (El Niño/Southern Oscillation) and ARMA models suggests that yield forecasting errors can be reduced, generating more normal distributions of these errors. Keywords: El Niño, ENSO, forecasting crop yields, long range weather forecasting, agricultural modeling, food security, risk management

Suggested Citation

  • 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.
  • Handle: RePEc:ags:midasp:11741
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    File URL: http://purl.umn.edu/11741
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    1. 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, July.
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    1. repec:wsi:afexxx:v:09:y:2014:i:02:n:s2010495214400077 is not listed on IDEAS

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