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The Effect Of Fertiliser On Risk: A Heteroscedastic Production Function With Measurable Stochastic Inputs

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Author Info

  • Rosegrant, Mark W.
  • Roumasset, James A.

Abstract

The sources of production risk are many and diverse in nature. Estimating risk as a black box, without explicit recognition of its sources, can lead to inferior estimates of optimal inputs under risk aversion. In this paper, a method is presented for estimating production functions with measurable stochastic inputs and for generating the parameters of the probability distributions of yield for various environments and input levels. Based on this method, it appears that moderate risk aversion can account for a 6.7 per cent to 16.7 per cent reduction in nitrogen use (relative to the risk-neutral solution) for selected rice producing areas of the Philippines. Estimating optimal inputs without environment specific information about the sources of risk leads to large errors. This underscores the value of collecting information about the sources of risk and of exercising caution when such information is not available.

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File URL: http://purl.umn.edu/22518
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Bibliographic Info

Article provided by Australian Agricultural and Resource Economics Society in its journal Australian Journal of Agricultural Economics.

Volume (Year): 29 (1985)
Issue (Month): 02 (August)
Pages:

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Handle: RePEc:ags:ajaeau:22518

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Keywords: Risk and Uncertainty;

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References

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  1. Antle, John M, 1983. "Testing the Stochastic Structure of Production: A Flexible Moment-based Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(3), pages 192-201, July.
  2. 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.
  3. Amemiya, Takeshi, 1977. "A note on a heteroscedastic model," Journal of Econometrics, Elsevier, vol. 6(3), pages 365-370, November.
  4. Derek R. Byerlee & Jock R. Anderson, 1969. "Value Of Predictors Of Uncontrolled Factors In Response Functions," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 13(2), pages 118-127, December.
  5. Herdt, R W & Mandac, A M, 1981. "Modern Technology and Economic Efficiency of Philippine Rice Farmers," Economic Development and Cultural Change, University of Chicago Press, vol. 29(2), pages 375-99, January.
  6. Harvey, A C, 1976. "Estimating Regression Models with Multiplicative Heteroscedasticity," Econometrica, Econometric Society, vol. 44(3), pages 461-65, May.
  7. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-94, September.
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Citations

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Cited by:
  1. Herdt, Robert W., 1986. "Technological Potential for Increasing Crop Productivity in Developing Countries," 1986: Trade and Development Meeting, December 1986, CIMMYT, Mexico City, Mexico 50654, International Agricultural Trade Research Consortium.
  2. Metcalfe, Todd & Bosch, Darrell J. & Pease, James W. & Alley, Mark M. & Phillips, Steve B., 2007. "Yield Reserve Program Costs in the Virginia Coastal Plain," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 36(2), October.
  3. Finger, Robert, 2012. "Nitrogen use and the effects of nitrogen taxation under consideration of production and price risks," Agricultural Systems, Elsevier, vol. 107(C), pages 13-20.
  4. Finger, Robert, 2011. "Reductions of Agricultural Nitrogen Use Under Consideration of Production and Price Risks," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114356, European Association of Agricultural Economists.
  5. Meyer-Aurich, Andreas & Gandorfer, Markus & Rajsic, Predrag, 2013. "Analyzing higher moments of nitrogen response for risk efficient fertilizer application in wheat and corn production," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150220, Agricultural and Applied Economics Association.
  6. Lehmann, Niklaus & Finger, Robert, 2012. "Optimizing whole-farm management considering price and climate risks," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122533, European Association of Agricultural Economists.
  7. William E. Griffiths & Jock R. Anderson & K.B. Hamal, 1987. "Subjective Distributions As Econometric Response Data," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 31(2), pages 127-141, 08.
  8. Abedullah & Mubaraik Ali, 2006. "Quantifying the Extent and Nature of Risk in Alternative Cropping Patterns in Claveria, Philippines," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 45(2), pages 261-280.
  9. Lichtenberg, Erik, 2000. "Agriculture And The Environment," Working Papers 28567, University of Maryland, Department of Agricultural and Resource Economics.
  10. Abedullah & Pandey, Sushil, 2004. "Risk and Fertilizer Use in the Rainfed Rice Ecosystem of Tarlac, Philippines," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 36(01), April.
  11. Abedullah & Sushil Pandey, 2007. "The Value of Rainfall Forecasts in the Rainfed Rice Areas of the Philippines," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 12(2), pages 69-81, Jul-Dec.

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