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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 Paper Series 11741, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    • Handle: RePEc:ags:midasp:11741
    DOI: 10.22004/ag.econ.11741
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    File URL: https://ageconsearch.umn.edu/record/11741/files/sp99-11.pdf
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    References listed on IDEAS

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    1. Jarque, Carlos M. & Bera, Anil K., 1980. "Efficient tests for normality, homoscedasticity and serial independence of regression residuals," Economics Letters, Elsevier, vol. 6(3), pages 255-259.
    2. 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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    Cited by:

    1. Shu-Ling Chen & Yu-Lieh Huang, 2014. "Actuarial Implications Of Structural Changes In El Niño-Southern Oscillation Index Dynamics," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 9(02), pages 1-20.

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    Keywords

    Crop Production/Industries;

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