An Analysis Of The Impact Of Enso (El Nino/Southern Oscillation) On Global Crop Yields
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
|Date of creation:||1999|
|Contact details of provider:|| Postal: Justin S. Morrill Hall of Agriculture, 446 West Circle Dr., Rm 202, East Lansing, MI 48824-1039|
Phone: (517) 355-4563
Fax: (517) 432-1800
Web page: http://www.aec.msu.edu/agecon/
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
When requesting a correction, please mention this item's handle: RePEc:ags:midasp:11741. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search)
If references are entirely missing, you can add them using this form.