IDEAS home Printed from https://ideas.repec.org/a/cup/jagaec/v22y1990i02p49-55_00.html

Generalized Stochastic Dominance: An Empirical Examination

Author

Listed:
  • McCarl, Bruce A.

Abstract

Use of generalized stochastic dominance (GSD) requires one to place lower and upper bounds on the risk aversion coefficient. This study showed that breakeven risk aversion coefficients found assuming the exponential utility function delineate the places where GSD preferences switch between prospects. However, between these break points, multiple, overlapping GSD intervals can be found. Consequently, when one does not have risk aversion coefficient information, discovery of breakeven coefficients instead of GSD use is recommended. The investigation also showed GSD results are insensitive to wealth and data scaling but are sensitive to rounding.

Suggested Citation

  • McCarl, Bruce A., 1990. "Generalized Stochastic Dominance: An Empirical Examination," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 22(2), pages 49-55, December.
  • Handle: RePEc:cup:jagaec:v:22:y:1990:i:02:p:49-55_00
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S1074070800001796/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Maynard, Leigh J. & Harper, Jayson K. & Hoffman, Lynn D., 1997. "Impact of Risk Preferences on Crop Rotation Choice," Agricultural and Resource Economics Review, Cambridge University Press, vol. 26(1), pages 106-114, April.
    2. Anissa Chaibi & Maria-Lenuta Ciupac-Ulici & Mircea-Cristian Gherman, 2014. "Do Recent Stochastic Tools Help to Better Understand Investors Preference and Asset Allocation?," Working Papers 2014-130, Department of Research, Ipag Business School.
    3. Upadhyay, Bharat Mani & Smith, Elwin G. & Clayton, George & Harker, Neil, 2004. "Risk Efficiency Of Alternate Canola Management Decisions," Annual Meeting, 2004, June 20-23, Halifax, Nova Scotia 34193, Canadian Agricultural Economics Society.
    4. Brent A. Gloy & Timothy G. Baker, 2002. "The Importance of Financial Leverage and Risk Aversion in Risk-Management Strategy Selection," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(4), pages 1130-1143.
    5. 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.
    6. Hardaker, J. Brian & Richardson, James W. & Lien, Gudbrand D. & Schumann, Keith D., 2004. "Stochastic efficiency analysis with risk aversion bounds: a simplified approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(2), pages 1-18.
    7. 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.
    8. Mullen, John D., 2001. "An Economic Persective On Land Degradation Issues," Research Reports 27999, New South Wales Department of Primary Industries Research Economists.
    9. 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(01), pages 1-29.
    10. 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.
    11. Maxwell, Brett J. & Wilson, William W. & Dahl, Bruce L., 2004. "Marketing Mechanisms In Gm Grains And Oilseeds," Agribusiness & Applied Economics Report 23639, North Dakota State University, Department of Agribusiness and Applied Economics.
    12. 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.
    13. Scott, J. Fiona & Farquharson, Robert J., 2002. "Finding a win-win situation for salinity on the Liverpool Plains," 2002 Conference (46th), February 13-15, 2002, Canberra, Australia 125162, Australian Agricultural and Resource Economics Society.
    14. Dias, Weeratilake & Helmers, Glenn A. & Eghball, Bahman, 1999. "Economic And Environmental Risk Efficiency Analysis Of Land Application Of Cattle Feedlot Manure: Generalized Stochastic Dominance Analysis," 1999 Annual Meeting, July 11-14, 1999, Fargo, ND 35715, Western Agricultural Economics Association.
    15. Giesler, G. Grant & Paxton, Kenneth W. & Millhollon, E.P., 1993. "A Gsd Estimation Of The Relative Worth Of Cover Crops In Cotton Production Systems," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 18(01), pages 1-10, July.
    16. Rodriguez, Hector German & Popp, Jennie & Gbur, Edward & Chaubey, Indrajeet, 2011. "Environmental and economic impacts of reducing total phosphorous runoff in an agricultural watershed," Agricultural Systems, Elsevier, vol. 104(8), pages 623-633, October.
    17. Larson, James A. & Roberts, Roland K. & Tyler, Donald D. & Duck, Bob N. & Slinsky, Stephen P., 1998. "Nitrogen-Fixing Winter Cover Crops and Production Risk: A Case Study for No-Tillage Corn," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 30(1), pages 163-174, July.

    More about this item

    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:cup:jagaec:v:22:y:1990:i:02:p:49-55_00. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/aae .

    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.