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Heteroskedasticity In Crop Yield Models

  • Yang, Seung-Ryong
  • Koo, Won W.
  • Wilson, William W.

This study examines three alternative models of correcting for heteroskedasticity in wheat yield: the time trend variance, the GARCH, and an econometric model that includes the potential sources of heteroskedasticity. Nonnested test results suggest that modeling the sources of heteroskedasticity is the preferred procedure. Including potential sources of heteroskedasticity as explanatory variables removed the heteroskedasticity in the sample wheat yields. The results also suggest that the GARCH specification is a promising model of correcting for heteroskedasticity when the sources cannot be identified. The time trend variance model alone may misspecify the true variance structure.

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File URL: http://purl.umn.edu/30738
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Article provided by Western Agricultural Economics Association in its journal Journal of Agricultural and Resource Economics.

Volume (Year): 17 (1992)
Issue (Month): 01 (July)
Pages:

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Handle: RePEc:ags:jlaare:30738
Contact details of provider: Web page: http://waeaonline.org/
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  1. A. J. Singh & D. Byerlee, 1990. "Relative Variability In Wheat Yields Across Countries And Over Time," Journal of Agricultural Economics, Wiley Blackwell, vol. 41(1), pages 21-32.
  2. Aradhyula, Satheesh V. & Holt, Matthew T., 1988. "Garch Time-Series Models: An Application To Retail Livestock Prices," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 13(02), December.
  3. Just, Richard E. & Pope, Rulon D., 1978. "Stochastic specification of production functions and economic implications," Journal of Econometrics, Elsevier, vol. 7(1), pages 67-86, February.
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