Incorporating Government Program Provisions Into A Mean-Variance Framework
AbstractE-V studies traditionally have relied on historical data to calculate returns and variance. Historical data may not fully reflect current conditions, particularly when decisions involve government-supported crops. This paper presents a method for calculating mean and variance using subjectively-estimated data. The method is developed for both government-supported and non-program crops. Comparisons to alternative methods suggest the approach provides reasonable accuracy.
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Bibliographic InfoArticle provided by Southern Agricultural Economics Association in its journal Southern Journal of Agricultural Economics.
Volume (Year): 21 (1989)
Issue (Month): 02 (December)
Agricultural and Food Policy;
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- Anderson, Jock R. & Feder, Gershon, 2007. "Agricultural Extension," Handbook of Agricultural Economics, Elsevier.
- Meyer, Jack, 1987. "Two-moment Decision Models and Expected Utility Maximization," American Economic Review, American Economic Association, vol. 77(3), pages 421-30, June.
- El Benni, Nadja & Finger, Robert, 2012. "Where is the risk? Price, yield and cost risk in Swiss crop production," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126758, International Association of Agricultural Economists.
- Chien, Ming-Che & Leatham, David J., 1994. "The Value Of Planting Flexibility Provisions In The 1990 Farm Bill To Three Representative Texas Farms," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 26(01), July.
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