IDEAS home Printed from https://ideas.repec.org/a/ags/wjagec/32468.html
   My bibliography  Save this article

Identifying The Set Of Ssd-Efficient Mixtures Of Risky Alternatives

Author

Listed:
  • McCamley, Francis P.
  • Kliebenstein, James B.

Abstract

Target MOTAD and other direct utility-maximization models provide one way of computing SSD-efficient mixtures. These models are appropriate when the utility function is known and can also be used to identify part of the set of SSD-efficient mixtures even when the utility function is not known. However, they do not always identify all SSD-efficient mixtures. A grid method was proposed by Bawa, Lindenberg, and Rafsky. A third approach, which extends the work of Dybvig and Ross, is presented here. It is illustrated by applying it to data from Anderson, Dillon, and Hardaker.

Suggested Citation

  • McCamley, Francis P. & Kliebenstein, James B., 1987. "Identifying The Set Of Ssd-Efficient Mixtures Of Risky Alternatives," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 12(1), pages 1-9, July.
  • Handle: RePEc:ags:wjagec:32468
    DOI: 10.22004/ag.econ.32468
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/32468/files/12010086.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.32468?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. Anderson, Jock R. & Dillon, John L. & Hardaker, Brian, 1977. "Agricultural Decision Analysis," Monographs: Applied Economics, AgEcon Search, number 288652, November.
    2. Dybvig, Philip H & Ross, Stephen A, 1982. "Portfolio Efficient Sets," Econometrica, Econometric Society, vol. 50(6), pages 1525-1546, November.
    3. David K. Lambert & Bruce A. McCarl, 1985. "Risk Modeling Using Direct Solution of Nonlinear Approximations of the Utility Function," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 67(4), pages 846-852.
    4. 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.
    5. Bruce A. McCarl & Thomas O. Knight & James R. Wilson & James B. Hastie, 1987. "Stochastic Dominance over Potential Portfolios: Caution Regarding Covariance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 69(4), pages 804-812.
    6. Hadar, Josef & Russell, William R., 1974. "Diversification of interdependent prospects," Journal of Economic Theory, Elsevier, vol. 7(3), pages 231-240, March.
    7. McCamley, F. P. & Kliebenstein, James, 1987. "Identifying the Set of Ssd Efficient Mixtures of Risky Alternatives," Staff General Research Papers Archive 10626, Iowa State University, Department of Economics.
    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. McCamley, Francis, 1988. "Approximating A Gsd-Efficient Set Of Mixtures Of Risky Alternatives For Risk Averse Decision Makers," 1988 Annual Meeting, August 1-3, Knoxville, Tennessee 270301, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

    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. David J. Pannell, 1991. "Pests and pesticides, risk and risk aversion," Agricultural Economics, International Association of Agricultural Economists, vol. 5(4), pages 361-383, August.
    2. Torkamani, Javad, 2005. "Using a whole-farm modelling approach to assess prospective technologies under uncertainty," Agricultural Systems, Elsevier, vol. 85(2), pages 138-154, August.
    3. Lien, Gudbrand & Hardaker, J. Brian & Asseldonk, Marcel A.P.M. van & Richardson, James W., 2009. "Risk programming and sparse data: how to get more reliable results," Agricultural Systems, Elsevier, vol. 101(1-2), pages 42-48, June.
    4. Musser, Wesley N., 1994. "Progress In Risk Analysis In Regional Projects," 1994 Quantifying Long Run Agricultural Risks and Evaluating Farmer Responses Risk, Technical Committee Meeting, March 24-26, 1994, Gulf Shores State Park, Alabama 271553, Regional Research Projects > S-232: Quantifying Long Run Agricultural Risks and Evaluating Farmer Responses to Risk.
    5. McCamley, Francis & Kliebenstein, James B., 1986. "Necessary Conditions For Dsd Efficiency Of Mixtures Of Risky Alternatives," 1986 Annual Meeting, July 27-30, Reno, Nevada 278149, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Graham R. Marshall & Kevin A. Parton & G.L. Hammer, 1996. "Risk Attitude, Planting Conditions And The Value Of Seasonal Forecasts To A Dryland Wheat Grower," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 40(3), pages 211-233, December.
    7. Wetzstein, Michael E. & Szmedra, Philip I. & McClendon, Ronald W. & Edwards, David M., 1988. "Efficiency Criteria And Risk Aversion: An Empirical Evaluation," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 20(1), pages 1-8, July.
    8. Pannell, David J. & Nordblom, Thomas L., 1998. "Impacts of risk aversion on whole-farm management in Syria," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 42(3), pages 1-21.
    9. Pannell, David J., 1988. "Modelling Risk in Linear Programming Using Direct Solution of Linearly Segmented Approximations of the Utility Function," Discussion Papers 315423, University of Western Australia, School of Agricultural and Resource Economics.
    10. McCamley, Francis & Kliebenstein, James B., 1984. "Describing and Determining the Complete Set of Target MOTAD Solutions," 1984 Annual Meeting, August 5-8, Ithaca, New York 278966, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    11. Pannell, David J. & Malcolm, Bill & Kingwell, Ross S., 2000. "Are we risking too much? Perspectives on risk in farm modelling," Agricultural Economics, Blackwell, vol. 23(1), pages 69-78, June.
    12. Gudbrand Lien & J. Hardaker & Marcel Asseldonk & James Richardson, 2011. "Risk programming analysis with imperfect information," Annals of Operations Research, Springer, vol. 190(1), pages 311-323, October.
    13. Apland, Jeffrey & Hauer, Grant, 1993. "Discrete Stochastic Programming: Concepts, Examples And A Review Of Empirical Applications," Staff Papers 13793, University of Minnesota, Department of Applied Economics.
    14. G. R. Soltani & M. Bakhshoodeh & M. Zibaei, 2009. "Optimization of Agricultural Water Use and Trade Patterns: The Case of Iran," Working Papers 508, Economic Research Forum, revised Dec 2009.
    15. McCamley, Francis, 1988. "Approximating A Gsd-Efficient Set Of Mixtures Of Risky Alternatives For Risk Averse Decision Makers," 1988 Annual Meeting, August 1-3, Knoxville, Tennessee 270301, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    16. Ford, Stephen A. & Ford, Beth Pride & Spreen, Thomas H., 1995. "Evaluation Of Alternative Risk Specifications In Farm Programming Models," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 24(1), pages 1-11, April.
    17. Ellis, John R. & Hughes, David W. & Butcher, Walter R., 1991. "Economic Modeling Of Farm Production And Conservation Decisions In Response To Alternative Resource And Environmental Policies," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 20(1), pages 1-11, April.
    18. Hardaker, J. Brian & Lien, Gudbrand D., 2007. "Rationalising Risk Assessment: Applications to Agricultural Business," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 15.
    19. McCamley, Francis, 1987. "Identifying A Csd Efficient Set Of Mixtures Of Risky Alternatives For Risk Preferring Decision Makers," 1987 Annual Meeting, August 2-5, East Lansing, Michigan 270125, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    20. World Bank, 2010. "Improving Water Management in Rainfed Agriculture : Issues and Options in Water-Constrained Production Systems," World Bank Publications - Reports 13028, The World Bank Group.

    More about this item

    Keywords

    Risk and Uncertainty;

    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:wjagec:32468. 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/waeaaea.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.