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Crop Yield Skewness Under Law of Minimum Technology

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  • Hennessy, David A.

Abstract

No satisfactory motivation has been forwarded in favor of any crop yield distribution, including thenormal. This article explores the foundations of yield distributions for the Law of the Minimum resourceconstraint technology at the plot level of analysis.With independent, identical, uniform resourceavailability distributions the yield skew is positive, whereas it is negative whenever the distributionsare normal. Simulations show how asymmetries in resource availabilities determine skewness. It issuggested that a negative yield skew occurs whenever production is tightly controlled so that the lefttails of some resources availabilities distributions are thin. Irrigation may increase yield skewness.

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Bibliographic Info

Paper provided by Iowa State University, Department of Economics in its series Staff General Research Papers with number 35018.

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Date of creation: 29 Mar 2012
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Publication status: Published in American Journal of Agricultural Economics, February 2009, vol. 91 no. 1, pp. 197-208
Handle: RePEc:isu:genres:35018

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Postal: Iowa State University, Dept. of Economics, 260 Heady Hall, Ames, IA 50011-1070
Phone: +1 515.294.6741
Fax: +1 515.294.0221
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Web page: http://www.econ.iastate.edu
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Related research

Keywords: beta-normal distribution; crop insurance; Liebig technology; limiting factors; order statistics; reliability; weakest-link;

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  1. Octavio A. Ramirez & Sukant Misra & James Field, 2003. "Crop-Yield Distributions Revisited," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, Agricultural and Applied Economics Association, vol. 85(1), pages 108-120.
  2. Joseph Atwood & Saleem Shaik & Myles Watts, 2003. "Are Crop Yields Normally Distributed? A Reexamination," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, Agricultural and Applied Economics Association, vol. 85(4), pages 888-901.
  3. Richard E. Just & Quinn Weninger, 1999. "Are Crop Yields Normally Distributed?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, Agricultural and Applied Economics Association, vol. 81(2), pages 287-304.
  4. Robert G. Chambers & Erik Lichtenberg, 1996. "A Nonparametric Approach to the von Liebig-Paris Technology," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, Agricultural and Applied Economics Association, vol. 78(2), pages 373-386.
  5. David A. Hennessy, 2009. "Crop Yield Skewness Under Law of the Minimum Technology," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, Agricultural and Applied Economics Association, vol. 91(1), pages 197-208.
  6. Alan P. Ker & Barry K. Goodwin, 2000. "Nonparametric Estimation of Crop Insurance Rates Revisited," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, Agricultural and Applied Economics Association, vol. 82(2), pages 463-478.
  7. Zanini, Fabio C. & Sherrick, Bruce J. & Schnitkey, Gary D. & Irwin, Scott H., 2001. "Crop Insurance Valuation Under Alternative Yield Distributions," 2001 Conference, April 23-24, 2001, St. Louis, Missouri, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management 18953, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
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