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An Econometric Yield Response And Forecasting Model For Corn In Indiana

Author

Listed:
  • Klemme, Richard M.
  • Martin, Marshall A.
  • Whittaker, James K.

Abstract

Economic benefits can accrue from more timely crop forecasts. An econometric corn yield response model for Indiana, that can generate more frequent forecasts, was specified and estimated. The model's yield forecasting capability was comparable, and in some cases superior, to that of the U.S. Statistical Reporting Service.

Suggested Citation

  • Klemme, Richard M. & Martin, Marshall A. & Whittaker, James K., 1978. "An Econometric Yield Response And Forecasting Model For Corn In Indiana," 1978 Annual Meeting, August 6-9, Blacksburg, Virginia 284174, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea78:284174
    DOI: 10.22004/ag.econ.284174
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    Cited by:

    1. Omolola M. Adisa & Joel O. Botai & Abiodun M. Adeola & Abubeker Hassen & Christina M. Botai & Daniel Darkey & Eyob Tesfamariam, 2019. "Application of Artificial Neural Network for Predicting Maize Production in South Africa," Sustainability, MDPI, vol. 11(4), pages 1-17, February.

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    Keywords

    Crop Production/Industries;

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