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Linear Response Stochastic Plateau Functions

Author

Listed:
  • Tembo, Gelson
  • Brorsen, B. Wade
  • Epplin, Francis M.
Abstract
A method of estimating a linear response stochastic plateau function is developed and used to determine optimal levels of nitrogen fertilization for wheat. Under the stochastic plateau model, optimizing behavior implies different nitrogen levels than the linear plateau model, depending on the output/input price ratio relative to a threshold level.

Suggested Citation

  • Tembo, Gelson & Brorsen, B. Wade & Epplin, Francis M., 2003. "Linear Response Stochastic Plateau Functions," 2003 Annual Meeting, February 1-5, 2003, Mobile, Alabama 35217, Southern Agricultural Economics Association.
    • Handle: RePEc:ags:saeatm:35217
    DOI: 10.22004/ag.econ.35217
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    References listed on IDEAS

    as
    1. Pautsch, Gregory R. & Babcock, Bruce A. & Breidt, F. Jay, 1999. "Optimal Information Acquisition Under A Geostatistical Model," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 24(2), pages 1-25, December.
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    4. Earl O. Heady & John Pesek, 1954. "A Fertilizer Production Surface with Specification of Economic Optima for Corn Grown on Calcareous Ida Silt Loam," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 36(3), pages 466-482.
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    7. Bruce A. Babcock, 1992. "The Effects of Uncertainty on Optimal Nitrogen Applications," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 14(2), pages 271-280.
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    Cited by:

    1. Roberts, David C. & Brorsen, B. Wade & Raun, William R. & Solie, John B., 2008. "The Value of Regional Annual Nitrogen Needs Information for Wheat Producers in Oklahoma," 2008 Annual Meeting, February 2-6, 2008, Dallas, Texas 6734, Southern Agricultural Economics Association.
    2. Simeon Kaitibie & William E. Nganje & B. Wade Brorsen & Francis M. Epplin, 2007. "A Cox Parametric Bootstrap Test of the von Liebig Hypotheses," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 55(1), pages 15-25, March.
    3. Biermacher, Jon T. & Epplin, Francis M. & Brorsen, B. Wade & Solie, John B. & Raun, William R., 2007. "PR - What Is The Potential For Precision Agriculture Based On Plant Sensing?," 16th Congress, Cork, Ireland, July 15-20, 2007 345360, International Farm Management Association.
    4. Brorsen, B. Wade, 2013. "Using Bayesian Estimation and Decision Theory to Determine the Optimal Level of Nitrogen in Cotton," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 142951, Southern Agricultural Economics Association.

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