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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.

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Bibliographic Info

Paper provided by Southern Agricultural Economics Association in its series 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida with number 142951.

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Date of creation: Jan 2013
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Handle: RePEc:ags:saea13:142951

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Related research

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

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  1. 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.
  2. 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.
  3. Du, Xiaodong & Hennessy, David A. & Yu, Cindy, 2012. "Testing Day's Conjecture That More Nitrogen Decreases Crop Yield Skewness," Staff General Research Papers 35022, Iowa State University, Department of Economics.
  4. 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.
  5. Gelson Tembo & B. Wade Brorsen & Francis M. Epplin & Em�lio Tost�o, 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. Kaitibie, Simeon & Epplin, Francis M. & Brorsen, B. Wade & Horn, Gerald W. & Krenzer, Eugene G., Jr. & Paisley, Steven I., 2003. "Optimal Stocking Density for Dual-Purpose Winter Wheat Production," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 35(01), April.
  7. 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.
  8. 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.
  9. 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.
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