IDEAS home Printed from
   My bibliography  Save this article

Research Bibliography---Stochastic Dominance: A Research Bibliography


  • Vijay S. Bawa

    (University of Texas at Austin and Bell Labs., Murray Hill, NJ)


About 400 publications, working papers and books are included in this bibliography on Stochastic Dominance. It contains an exhaustive listing of papers that are either basic contributions to this subject or primarily concerned with applications of the Stochastic Dominance concepts. It also contains selective listing of papers from finance, economics, mathematics, mathematical physics, mathematical psychology, operations research and statistics literature to illustrate the wide applicability of Stochastic Dominance concepts.

Suggested Citation

  • Vijay S. Bawa, 1982. "Research Bibliography---Stochastic Dominance: A Research Bibliography," Management Science, INFORMS, vol. 28(6), pages 698-712, June.
  • Handle: RePEc:inm:ormnsc:v:28:y:1982:i:6:p:698-712
    DOI: 10.1287/mnsc.28.6.698

    Download full text from publisher

    File URL:
    Download Restriction: no


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

    Cited by:

    1. Range, Troels Martin & Ă˜sterdal, Lars Peter, 2013. "Checking bivariate first order dominance," Discussion Papers of Business and Economics 9/2013, University of Southern Denmark, Department of Business and Economics.
    2. Ogryczak, Wlodzimierz & Ruszczynski, Andrzej, 1999. "From stochastic dominance to mean-risk models: Semideviations as risk measures," European Journal of Operational Research, Elsevier, vol. 116(1), pages 33-50, July.
    3. Ă˜sterdal, Lars Peter, 2010. "The mass transfer approach to multivariate discrete first order stochastic dominance: Direct proof and implications," Journal of Mathematical Economics, Elsevier, vol. 46(6), pages 1222-1228, November.
    4. Osuna, Edgar Elias, 2012. "Crossing points of distributions and a theorem that relates them to second order stochastic dominance," Statistics & Probability Letters, Elsevier, vol. 82(4), pages 758-764.
    5. Wen-Ko Hsu & Chun-Pin Tseng & Wei-Ling Chiang & Cheng-Wu Chen, 2012. "Risk and uncertainty analysis in the planning stages of a risk decision-making process," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 61(3), pages 1355-1365, April.
    6. 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.
    7. Timo Kuosmanen, 2004. "Efficient Diversification According to Stochastic Dominance Criteria," Management Science, INFORMS, vol. 50(10), pages 1390-1406, October.
    8. Peter J. Phillips & Gabriela Pohl, 2017. "Terrorist choice: a stochastic dominance and prospect theory analysis," Defence and Peace Economics, Taylor & Francis Journals, vol. 28(2), pages 150-164, March.
    9. Peter Brooks & Simon Peters & Horst Zank, 2014. "Risk behavior for gain, loss, and mixed prospects," Theory and Decision, Springer, vol. 77(2), pages 153-182, August.
    10. Langewisch, Andrew & Choobineh, Fred, 1996. "Stochastic dominance tests for ranking alternatives under ambiguity," European Journal of Operational Research, Elsevier, vol. 95(1), pages 139-154, November.
    11. Nowak, Maciej, 2004. "Preference and veto thresholds in multicriteria analysis based on stochastic dominance," European Journal of Operational Research, Elsevier, vol. 158(2), pages 339-350, October.
    12. Wang, Shaun S. & Young, Virginia R., 1998. "Ordering risks: Expected utility theory versus Yaari's dual theory of risk," Insurance: Mathematics and Economics, Elsevier, vol. 22(2), pages 145-161, June.
    13. Andrey Lizyayev, 2010. "Stochastic Dominance Efficiency Analysis of Diversified Portfolios: Classification, Comparison and Refinements," Tinbergen Institute Discussion Papers 10-084/2, Tinbergen Institute.
    14. Jun-ya Gotoh & Hiroshi Konno, 2000. "Third Degree Stochastic Dominance and Mean-Risk Analysis," Management Science, INFORMS, vol. 46(2), pages 289-301, February.
    15. Thomas Kourouxous & Thomas Bauer, 2019. "Violations of dominance in decision-making," Business Research, Springer;German Academic Association for Business Research, vol. 12(1), pages 209-239, April.
    16. Andrey M. Lizyayev, 2009. "Stochastic Dominance: Convexity and Some Efficiency Tests," Tinbergen Institute Discussion Papers 09-112/2, Tinbergen Institute, revised 05 Jan 2010.
    17. Lee, Yung-Tsung & Kung, Ko-Lun & Liu, I-Chien, 2018. "Profitability and risk profile of reverse mortgages: A cross-system and cross-plan comparison," Insurance: Mathematics and Economics, Elsevier, vol. 78(C), pages 255-266.


    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:inm:ormnsc:v:28:y:1982:i:6:p:698-712. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Matthew Walls). General contact details of provider: .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.