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Evaluating Use of Outlook Information in Grain Sorghum Storage Decisions

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  • Rister, M. Edward
  • Skees, Jerry R.
  • Black, J. Roy

Abstract

This study examines grain sorghum storage decisions in the Texas Coastal Bend region. Decisions involving use and non-use of outlook information are compared using stochastic dominance criteria. Results indicate outlook information is of value to most classes of decisionmakers. The value of outlook information, however, is contingent upon producers' risk preferences. The methodology presented could be used to evaluate a more extensive set of marketing strategies for grain sorghum as well as for other crops.

Suggested Citation

  • Rister, M. Edward & Skees, Jerry R. & Black, J. Roy, 1984. "Evaluating Use of Outlook Information in Grain Sorghum Storage Decisions," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 16(1), pages 151-158, July.
    • Handle: RePEc:cup:jagaec:v:16:y:1984:i:01:p:151-158_01
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    1. Drynan, Ross G., 1986. "A Note On Optimal Rules For Stochastic Efficiency Analysis," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 30(1), pages 1-10, April.
    2. Goh, Siew & Shih, Chao-Chyuan & Cochran, Mark J. & Raskin, Rob, 1989. "A Generalized Stochastic Dominance Program For The Ibm Pc," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 21(2), pages 1-8, December.
    3. Anaman, Kwabena A. & Boggess, William G., 1986. "A Stochastic Dominance Analysis Of Alternative Marketing Strategies For Mixed Crop Farms In North Florida," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 18(2), pages 1-9, December.
    4. John W. Ritchie & G. Yahya Abawi & Sunil C. Dutta & Trevor R. Harris & Michael Bange, 2004. "Risk management strategies using seasonal climate forecasting in irrigated cotton production: a tale of stochastic dominance," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(1), pages 65-93, March.
    5. Hinson, Roger A. & Lee, John G. & Huh, Mooyul, 1990. "Evaluation Of Selected Fresh Vegetable Terminal Markets: A Stochastic Dominance Approach," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 22(2), pages 1-10, December.
    6. Bruce A. McCarl & David A. Bessler, 1989. "Estimating An Upper Bound On The Pratt Risk A Version Coefficient When The Utility Function Is Unknown," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 33(1), pages 56-63, April.
    7. Babcock, Bruce A. & Choi, E. Kwan & Feinerman, Eli, 1993. "Risk And Probability Premiums For Cara Utility Functions," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 18(1), pages 1-8, July.
    8. Raskin, Rob & Cochran, Mark J., 1986. "Interpretations And Transformations Of Scale For The Pratt-Arrow Absolute Risk Aversion Coefficient: Implications For Generalized Stochastic Dominance," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 11(2), pages 1-7, December.
    9. Teague, Paul W. & Lee, John G., 1988. "Risk Efficient Perennial Crop Selection: A Motad Approach To Citrus Production," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 20(2), pages 1-8, December.
    10. Ritchie, John W. & Abawi, G. Yahya & Dutta, Sunil C. & Harris, Trevor R. & Bange, Michael, 2004. "Risk management strategies using seasonal climate forecasting in irrigated cotton production: a tale of stochastic dominance," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(1), pages 1-29.
    11. Cochran, Mark J., 1986. "Stochastic Dominance: The State Of The Art In Agricultural Economics," Regional Research Projects > 1986: S-180 Annual Meeting, March 23-26, 1986, Tampa, Florida 271995, Regional Research Projects > S-180: An Economic Analysis of Risk Management Strategies for Agricultural Production Firms.

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