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Using Bayesian Estimation and Decision Theory to Determine the Optimal Level of Nitrogen in Cotton

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  • Brorsen, B. Wade

Abstract

Improved software now makes Bayesian estimation a strong alternative to nonlinear maximum likelihood. Bayesian methods were used to estimate a linear response stochastic plateau for cotton and were shown to provide estimates similar to maximum likelihood. Optimal levels of nitrogen were lower than recommended levels.

Suggested Citation

  • 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.
  • Handle: RePEc:ags:saea13:142951
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    File URL: http://purl.umn.edu/142951
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    References listed on IDEAS

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    1. Xiaodong Du & David A. Hennessy & Cindy L. Yu, 2012. "Testing Day's Conjecture that More Nitrogen Decreases Crop Yield Skewness," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(1), pages 225-237.
    2. Garth Holloway & Quirino Paris, 2002. "Production Efficiency in the von Liebig Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(5), pages 1271-1278.
    3. 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.
    4. Kaitibie, Simeon & Epplin, Francis M. & Brorsen, B. Wade & Horn, Gerald W. & Krenzer, Eugene G. & Paisley, Steven I., 2003. "Optimal Stocking Density for Dual-Purpose Winter Wheat Production," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 35(01), pages 29-38, April.
    5. Gelson Tembo & B. Wade Brorsen & Francis M. Epplin & Emílio Tostão, 2008. "Crop Input Response Functions with Stochastic Plateaus," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(2), pages 424-434.
    6. B. Brorsen & Francisca Richter, 2012. "Experimental designs for estimating plateau-type production functions and economically optimal input levels," Journal of Productivity Analysis, Springer, vol. 38(1), pages 45-52, August.
    7. Roberts, David C. & Brorsen, B. Wade & Solie, John B. & Raun, William R., 2011. "The effect of parameter uncertainty on whole-field nitrogen recommendations from nitrogen-rich strips and ramped strips in winter wheat," Agricultural Systems, Elsevier, vol. 104(4), pages 307-314, April.
    8. Garth Holloway, 2003. "An Old Problem Revisited-and Solved: Upton and Dalton's Linear Production Response: A Note," Journal of Agricultural Economics, Wiley Blackwell, vol. 54(3), pages 487-497.
    9. Berna Karali & Gabriel J. Power & Ariun Ishdorj, 2011. "Bayesian State-Space Estimation of Stochastic Volatility for Storable Commodities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(2), pages 434-440.
    10. Paul V. Preckel & Eric DeVuyst, 1992. "Efficient Handling of Probability Information for Decision Analysis under Risk," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(3), pages 655-662.
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    Citations

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    Cited by:

    1. Mkondiwa, Maxwell Gibson, 2015. "Whither Broad or Spatially Specific Fertilizer Recommendations?," Master's Theses 237344, University of Minnesota, Department of Applied Economics.
    2. Asci, Serhat & Borisova, Tatiana & VanSickle, John J., 2015. "Role of economics in developing fertilizer best management practices," Agricultural Water Management, Elsevier, vol. 152(C), pages 251-261.
    3. Chapoto, Antony & Sabasi, Darlington & Asante-Addo, Collins, "undated". "Fertilizer Intensification and Soil Fertility Impact on Maize Yield Response in Northern Ghana," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205694, Agricultural and Applied Economics Association;Western Agricultural Economics Association.
    4. Asci, Serhat & Borisova, Tatiana & VanSickle, John J., 2014. "Risks in Potato Production: Fertilizer, Water, and Producers’ Decision Making," 2014 Annual Meeting, February 1-4, 2014, Dallas, Texas 162536, Southern Agricultural Economics Association.
    5. Ouedraogo, Frederic B. & Brorsen, B. Wade, 2014. "Bayesian Estimation of Optimal Nitrogen Rates with a Non-Normally Distributed Stochastic Plateau Function," 2014 Annual Meeting, February 1-4, 2014, Dallas, Texas 162447, Southern Agricultural Economics Association.
    6. Falconer, Lawrence L. & Walker, Timothy W. & Richardson, James W., 2014. "Economic Evaluation of Fertilizer Reduction Incentive Programs for Rice Producers," Journal of the ASFMRA, American Society of Farm Managers and Rural Appraisers.

    More about this item

    Keywords

    Bayesian; cotton; lint yield; nitrogen; Oklahoma; stochastic plateau; Crop Production/Industries; Farm Management; Production Economics; Research Methods/ Statistical Methods; C11; Q12;

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets

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