IDEAS home Printed from https://ideas.repec.org/a/ags/nejare/28985.html
   My bibliography  Save this article

An Evaluation Of Expected Value And Expected Value-Variance Criteria In Achieving Risk Efficiency In Crop Selection

Author

Listed:
  • Reid, Donald W.
  • Tew, Bernard V.

Abstract

This article evaluates the performance of expected value and expected value-variance criteria in achieving risk efficiency in crop selection. Results indicate that the expected returns criterion achieves risk efficiency in many situations because of constraints. However, in the absence of many constraints the expected returns criterion performs poorly except when highly mean-dominant activities are present. The expected value-variance criterion achieves a high degree of risk efficiency for all situations examined. This result implies that criteria more complex than expected value-variance are not necessary for crop selection analysis, given empirical returns distributions.

Suggested Citation

  • Reid, Donald W. & Tew, Bernard V., 1987. "An Evaluation Of Expected Value And Expected Value-Variance Criteria In Achieving Risk Efficiency In Crop Selection," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 16(2), pages 1-9, October.
    • Handle: RePEc:ags:nejare:28985
    DOI: 10.22004/ag.econ.28985
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/28985/files/16020093.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.28985?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Fishburn, Peter C., 1974. "Convex stochastic dominance with continuous distribution functions," Journal of Economic Theory, Elsevier, vol. 7(2), pages 143-158, February.
    2. Richard H. Day, 1965. "Probability Distributions of Field Crop Yields," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 47(3), pages 713-741.
    3. William T. McSweeny & David E. Kenyon & Randall A. Kramer, 1987. "Toward an Appropriate Measure of Uncertainty in a Risk Programming Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 69(1), pages 87-96.
    4. Meyer, Jack, 1977. "Choice among distributions," Journal of Economic Theory, Elsevier, vol. 14(2), pages 326-336, April.
    5. Lars Brink & Bruce McCarl, 1978. "The Tradeoff between Expected Return and Risk Among Cornbelt Farmers," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 60(2), pages 259-263.
    6. Robert P. King & George E. Oamek, 1983. "Risk Management by Colorado Dryland Wheat Farmers and the Elimination of the Disaster Assistance Program," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 65(2), pages 247-255.
    7. Pulley, Lawrence B., 1981. "A General Mean-Variance Approximation to Expected Utility for Short Holding Periods," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 16(3), pages 361-373, September.
    8. John Lee & Deborah J. Brown & Stephen Lovejoy, 1985. "Stochastic Efficiency versus Mean-Variance Criteria as Predictors of Adoption of Reduced Tillage," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 67(4), pages 839-845.
    9. G. Hanoch & H. Levy, 1969. "The Efficiency Analysis of Choices Involving Risk," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 36(3), pages 335-346.
    10. David A. Bessler, 1980. "Aggregated Personalistic Beliefs on Yields of Selected Crops Estimated Using ARIMA Processes," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 62(4), pages 666-674.
    11. James P. Quirk & Rubin Saposnik, 1962. "Admissibility and Measurable Utility Functions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 29(2), pages 140-146.
    12. Robert N. Collender & David Zilberman, 1985. "Land Allocation under Uncertainty for Alternative Specifications of Return Distributions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 67(4), pages 779-786.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. McCarl, Bruce A., 1988. "Preference Among Risky Prospects Under Constant Risk Aversion," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 20(2), pages 25-34, December.
    2. Liu, Yangxuan & Langemeier, Michael & Small, Ian & Joseph, Laura & Fry, William, 2015. "Risk management strategies using potato precision farming technology," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205417, Agricultural and Applied Economics Association.
    3. Yangxuan Liu & Michael R. Langemeier & Ian M. Small & Laura Joseph & William E. Fry & Jean B. Ristaino & Amanda Saville & Benjamin M. Gramig & Paul V. Preckel, 2018. "A Risk Analysis of Precision Agriculture Technology to Manage Tomato Late Blight," Sustainability, MDPI, vol. 10(9), pages 1-19, August.
    4. Post, Thierry & Kopa, Miloš, 2013. "General linear formulations of stochastic dominance criteria," European Journal of Operational Research, Elsevier, vol. 230(2), pages 321-332.
    5. Schoney, R. A., 1990. "An Analysis of Wheat Supply Response Under Risk and Uncertainty," Working Papers 244030, Agriculture and Agri-Food Canada.
    6. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," JRFM, MDPI, vol. 11(1), pages 1-29, March.
    7. W. Wong & R. Chan, 2008. "Prospect and Markowitz stochastic dominance," Annals of Finance, Springer, vol. 4(1), pages 105-129, January.
    8. Chan, Raymond H. & Clark, Ephraim & Wong, Wing-Keung, 2016. "On the Third Order Stochastic Dominance for Risk-Averse and Risk-Seeking Investors with Analysis of their Traditional and Internet Stocks," MPRA Paper 75002, University Library of Munich, Germany.
    9. Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2016. "Management Science, Economics and Finance: A Connection," Econometric Institute Research Papers EI2016-26, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    10. 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.
    11. Hardaker, J. Brian & Lien, Gudbrand D., 2003. "Stochastic Efficiency Analysis With Risk Aversion Bounds: A Simplified Approach," Working Papers 12954, University of New England, School of Economics.
    12. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections," Tinbergen Institute Discussion Papers 18-024/III, Tinbergen Institute.
    13. Eidman, V., 1989. "Quantifying and managing risk in agriculture," 1989 Annual Conference, September 25-27, Bloemfontein, South Africa 314723, Agricultural Economics Association of South Africa (AEASA).
    14. N. Becker, 1999. "A comparative analysis of water price support versus drought compensation scheme," Agricultural Economics, International Association of Agricultural Economists, vol. 21(1), pages 81-92, August.
    15. Liqun Liu & Jack Meyer, 2021. "Stochastic superiority," Journal of Risk and Uncertainty, Springer, vol. 62(3), pages 225-246, June.
    16. Cochrane, Mark & Lodwick, Weldon & Raskin, Rob, 1984. "The Implementation of Convex Set Stochastic Dominance for Applied Risk Analysis," Regional Research Projects >1984: S-180 Annual Meeting, March 25-28, 1984, New Orleans, Louisiana 307225, Regional Research Projects > S-180: An Economic Analysis of Risk Management Strategies for Agricultural Production Firms.
    17. Kang, Taehoon & Wade Brorsen, B. & Adam, Brian D., 1996. "A new efficiency criterion: The mean-separated target deviations risk model," Journal of Economics and Business, Elsevier, vol. 48(1), pages 47-66, February.
    18. Thierry Post & Miloš Kopa, 2017. "Portfolio Choice Based on Third-Degree Stochastic Dominance," Management Science, INFORMS, vol. 63(10), pages 3381-3392, October.
    19. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Journal of Risk and Financial Management, MDPI, Open Access Journal, vol. 11(1), pages 1-29, March.
    20. Andrey Lizyayev, 2012. "Stochastic dominance efficiency analysis of diversified portfolios: classification, comparison and refinements," Annals of Operations Research, Springer, vol. 196(1), pages 391-410, July.

    More about this item

    Keywords

    Crop Production/Industries;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:nejare:28985. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/nareaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.