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Testing for Nonnormality in Farm Net Returns

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  • Steven T. Buccola

Abstract

Cash returns from farming are expected to be nonnormally distributed under a wide range of joint price-yield distributions. Adequate testing for such nonnormality requires use of proper whitening procedures as well as appropriate statistics. With tests and sample sizes commonly employed, a false imputation of normality often will be made. However, positive correlation between skewness and kurtosis reduces the likelihood of associated decision errors. These results are illustrated with data for irrigated alfalfa and dryland wheat.

Suggested Citation

  • Steven T. Buccola, 1986. "Testing for Nonnormality in Farm Net Returns," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(2), pages 334-343.
    • Handle: RePEc:oup:ajagec:v:68:y:1986:i:2:p:334-343.
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    File URL: http://hdl.handle.net/10.2307/1241435
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    Cited by:

    1. Phoebe Koundouri & Nikolaos Kourogenis, 2011. "On the Distribution of Crop Yields: Does the Central Limit Theorem Apply?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(5), pages 1341-1357.
    2. Holt, Matthew T., 1989. "Risk, Rational Expectations, and Price Stabilization in the U.S. Corn Market," Staff Papers 200480, University of Wisconsin-Madison, Department of Agricultural and Applied Economics.
    3. Perry, Gregory M. & McCarl, Bruce A. & Rister, M. Edward, 1988. "Modelling Farm Program-Crop Mix Decisions Under Risk," Regional Research Projects > 1988: S-180 Annual Meeting, March 20-23, 1988, Savannah, Georgia 272783, Regional Research Projects > S-180: An Economic Analysis of Risk Management Strategies for Agricultural Production Firms.
    4. Makki Shiva S. & Somwaru Agapi L., 2007. "Assessing Adverse Selection in Crop Insurance Markets: An Application of Parametric and Nonparametric Methods," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 2(1), pages 1-22, May.
    5. Sengupta, Sanchita, 2010. "Three Essays in Environmental and Agricultural Issues," ISU General Staff Papers 201001010800002848, Iowa State University, Department of Economics.
    6. Arora, Gaurav & Agarwal, Sandip K., 2020. "Agricultural input use and index insurance adoption: Concept and evidence," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304508, Agricultural and Applied Economics Association.
    7. Peter J. Barry & Bruce J. Sherrick & Jianmei Zhao, 2009. "Integration of VaR and expected utility under departures from normality," Agricultural Economics, International Association of Agricultural Economists, vol. 40(6), pages 691-699, November.
    8. Musshoff, Oliver & Hirschauer, Norbert, 2008. "Sophisticated Program Planning Approaches Generate Large Benefits in High Risk Crop Farming," 82nd Annual Conference, March 31 - April 2, 2008, Royal Agricultural College, Cirencester, UK 36865, Agricultural Economics Society.
    9. Musshoff, Oliver & Hirschauer, Norbert, 2007. "What benefits are to be derived from improved farm program planning approaches? - The role of time series models and stochastic optimization," Agricultural Systems, Elsevier, vol. 95(1-3), pages 11-27, December.
    10. Tew, Bernard V. & Reid, Donald W., 1988. "Probability Distributions Of Crop Prices, Yields, And Gross Revenue," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 17(2), pages 1-7, October.

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