IDEAS home Printed from https://ideas.repec.org/a/ags/ajaeau/22873.html
   My bibliography  Save this article

A Note On Optimal Rules For Stochastic Efficiency Analysis

Author

Listed:
  • Drynan, Ross G.

Abstract

No abstract is available for this item.

Suggested Citation

  • 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.
  • Handle: RePEc:ags:ajaeau:22873
    DOI: 10.22004/ag.econ.22873
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/22873/files/30010053.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.22873?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. Bawa, Vijay S., 1975. "Optimal rules for ordering uncertain prospects," Journal of Financial Economics, Elsevier, vol. 2(1), pages 95-121, March.
    3. Lemieux, Catharine M. & Richardson, James W. & Nixon, Clair J., 1982. "Federal Crop Insurance Vs. Ascs Disaster Assistance For Texas High Plains Cotton Producers: An Application Of Whole-Farm Simulation," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 7(2), pages 1-14, December.
    4. Buccola, Steven T. & Subaei, Abdelbagi, 1984. "Mean-Gini Analysis, Stochastic Efficiency And Weak Risk Aversion," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 28(2-3), pages 1-10, August.
    5. Anderson, Jock R., 1974. "Risk Efficiency in the Interpretation of Agricultural Production Research," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 42(03), pages 1-54, September.
    6. 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.
    7. Rister, M. Edward & Skees, Jerry R. & Black, J. Roy, 1984. "Evaluating Use Of Outlook Information In Grain Sorghum Storage Decisions," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 16(1), pages 1-8, July.
    8. Baron, David P, 1977. "On the Utility Theoretic Foundations of Mean-Variance Analysis," Journal of Finance, American Finance Association, vol. 32(5), pages 1683-1697, December.
    9. Porter, R. Burr, 1973. "An Empirical Comparison of Stochastic Dominance and Mean-Variance Portfolio Choice Criteria," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 8(4), pages 587-608, September.
    10. 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.
    11. Hanoch, Giora & Levy, Haim, 1970. "Efficient Portfolio Selection with Quadratic and Cubic Utility," The Journal of Business, University of Chicago Press, vol. 43(2), pages 181-189, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Batterham, Robert L. & Drynan, Ross G. & Oarke, D.K. & Carter, P.H., 1993. "A Note Comparing Single-Index Models and Quadratic Programming Models for Farm Planning Under Risk," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 61(03), pages 1-14, December.
    2. Drynan, Ross G., 1987. "Sufficient Conditions for Dominance of Simply Related Prospects," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 55(01), pages 1-12, April.

    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. 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.
    2. 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.
    3. Raymond H. Chan & Ephraim Clark & Xu Guo & Wing-Keung Wong, 2020. "New development on the third-order stochastic dominance for risk-averse and risk-seeking investors with application in risk management," Risk Management, Palgrave Macmillan, vol. 22(2), pages 108-132, June.
    4. 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.
    5. 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.
    6. Scott Johnson, C. & Foster, Kenneth A., 1994. "Risk Preferences and Contracting In the U.S. Hog Industry," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 26(2), pages 393-405, December.
    7. 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.
    8. Thierry Post & Milos Kopa, 2015. "Portfolio Choice based on Third-degree Stochastic Dominance, With an Application to Industry Momentum," Koç University-TUSIAD Economic Research Forum Working Papers 1527, Koc University-TUSIAD Economic Research Forum.
    9. George Samartzis & Nikitas Pittis, 2022. "On The Equivalence Of The Mean Variance Criterion And Stochastic Dominance Criteria," Papers 2211.01240, arXiv.org.
    10. Bailey, Elizabeth & Boisvert, Richard N., 1989. "A Comparison Of Risk Efficiency Criteria In Evaluating Groundnut Performance In Drought-Prone Areas," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 33(3), pages 1-17, December.
    11. 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.
    12. 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.
    13. Post, G.T., 2003. "Asset prices and omitted moments; A stochastic dominance analysis of market efficiency," ERIM Report Series Research in Management ERS-2003-017-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    14. 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.
    15. Drynan, Ross G., 1987. "Sufficient Conditions for Dominance of Simply Related Prospects," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 55(01), pages 1-12, April.
    16. 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.
    17. Post, Thierry & Kopa, Miloš, 2013. "General linear formulations of stochastic dominance criteria," European Journal of Operational Research, Elsevier, vol. 230(2), pages 321-332.
    18. David Johnstone & Dennis Lindley, 2013. "Mean-Variance and Expected Utility: The Borch Paradox," Papers 1306.2728, arXiv.org.
    19. 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.
    20. 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.

    More about this item

    Keywords

    Research Methods/ Statistical Methods;

    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:ajaeau:22873. 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/aaresea.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.