IDEAS home Printed from https://ideas.repec.org/p/cor/louvrp/1257.html
   My bibliography  Save this paper

A stochastic version of a Stackelberg-Nash-Cournot equilibrium model

Author

Listed:
  • DE WOLF, D.
  • SMEERS, Y.

Abstract

No abstract is available for this item.

Suggested Citation

  • De Wolf, D. & Smeers, Y., 1997. "A stochastic version of a Stackelberg-Nash-Cournot equilibrium model," LIDAM Reprints CORE 1257, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  • Handle: RePEc:cor:louvrp:1257
    DOI: 10.1287/mnsc.43.2.190
    Note: In : Management Science, 43 (2), 190-197, 1997
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Csercsik, Dávid & Hubert, Franz & Sziklai, Balázs R. & Kóczy, László Á., 2019. "Modeling transfer profits as externalities in a cooperative game-theoretic model of natural gas networks," Energy Economics, Elsevier, vol. 80(C), pages 355-365.
    2. Julien, Ludovic A., 2017. "On noncooperative oligopoly equilibrium in the multiple leader–follower game," European Journal of Operational Research, Elsevier, vol. 256(2), pages 650-662.
    3. Vikas Vikram Singh & Abdel Lisser, 2018. "A Characterization of Nash Equilibrium for the Games with Random Payoffs," Journal of Optimization Theory and Applications, Springer, vol. 178(3), pages 998-1013, September.
    4. Rossana Riccardi & Giorgia Oggioni & Elisabetta Allevi & Abdel Lisser, 2023. "Complementarity formulation of games with random payoffs," Computational Management Science, Springer, vol. 20(1), pages 1-32, December.
    5. Desmond Cai & Anish Agarwal & Adam Wierman, 2020. "On the Inefficiency of Forward Markets in Leader–Follower Competition," Operations Research, INFORMS, vol. 68(1), pages 35-52, January.
    6. Steven A. Gabriel & Supat Kiet & Jifang Zhuang, 2005. "A Mixed Complementarity-Based Equilibrium Model of Natural Gas Markets," Operations Research, INFORMS, vol. 53(5), pages 799-818, October.
    7. Yihsu Chen & Benjamin Hobbs & Sven Leyffer & Todd Munson, 2006. "Leader-Follower Equilibria for Electric Power and NO x Allowances Markets," Computational Management Science, Springer, vol. 3(4), pages 307-330, September.
    8. Olmez Turan, Merve & Flamand, Tulay, 2023. "Optimizing investment and transportation decisions for the European natural gas supply chain," Applied Energy, Elsevier, vol. 337(C).
    9. Tsimopoulos, Evangelos G. & Georgiadis, Michael C., 2021. "Nash equilibria in electricity pool markets with large-scale wind power integration," Energy, Elsevier, vol. 228(C).
    10. Dali Zhang & Huifu Xu & Yue Wu, 2010. "A two stage stochastic equilibrium model for electricity markets with two way contracts," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 71(1), pages 1-45, February.
    11. Gürkan, G. & Ozdemir, O. & Smeers, Y., 2013. "Strategic Generation Capacity Choice under Demand Uncertainty : Analysis of Nash Equilibria in Electricity Markets," Discussion Paper 2013-044, Tilburg University, Center for Economic Research.
    12. David Pozo & Enzo Sauma & Javier Contreras, 2017. "Basic theoretical foundations and insights on bilevel models and their applications to power systems," Annals of Operations Research, Springer, vol. 254(1), pages 303-334, July.
    13. M. J. Luo & G. H. Lin, 2009. "Expected Residual Minimization Method for Stochastic Variational Inequality Problems," Journal of Optimization Theory and Applications, Springer, vol. 140(1), pages 103-116, January.
    14. Victor DeMiguel & Huifu Xu, 2009. "A Stochastic Multiple-Leader Stackelberg Model: Analysis, Computation, and Application," Operations Research, INFORMS, vol. 57(5), pages 1220-1235, October.
    15. Xiaojun Chen & Masao Fukushima, 2005. "Expected Residual Minimization Method for Stochastic Linear Complementarity Problems," Mathematics of Operations Research, INFORMS, vol. 30(4), pages 1022-1038, November.
    16. Gasmi, Farid & Oviedo, Juan Daniel, 2010. "Investment in transport infrastructure, regulation, and gas-gas competition," Energy Economics, Elsevier, vol. 32(3), pages 726-736, May.
    17. Gürkan, G. & Ozge, A.Y. & Robinson, S.M., 1997. "Sample-path solutions for simulation optimization problems and stochastic variational inequalities," Other publications TiSEM 9c36c4c8-25d6-4a86-afbd-2, Tilburg University, School of Economics and Management.
    18. Rupp, Thomas, 2006. "Rational Actors in Balancing Markets: a Game-Theoretic Model and Results," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 36753, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    19. Farichah Farichah, 2017. "Relationship of Earnings Management and Earnings Quality before and after IFRS Implementation in Indonesia," European Research Studies Journal, European Research Studies Journal, vol. 0(4B), pages 70-81.
    20. Stefanos Leonardos & Costis Melolidakis & Constandina Koki, 2022. "Monopoly pricing in vertical markets with demand uncertainty," Annals of Operations Research, Springer, vol. 315(2), pages 1291-1318, August.
    21. Gürkan, G. & Ozdemir, O. & Smeers, Y., 2013. "Strategic Generation Capacity Choice under Demand Uncertainty : Analysis of Nash Equilibria in Electricity Markets," Other publications TiSEM 6b9f0c3a-030e-41e7-8e04-6, Tilburg University, School of Economics and Management.
    22. Gasmi, Farid & Oviedo, Juan Daniel, 2009. "Investment in Transport Infrastructure, and Gas-Gas Competition," TSE Working Papers 09-121, Toulouse School of Economics (TSE).
    23. Anna Alexandrowna Urasova & Pavel Alexandrovich Kuznetsov & Andrei Viktorovich Plotnikov, 2017. "Economic and Mathematical Model of Business Struggle with a Vertically Integrated Company in the Market," European Research Studies Journal, European Research Studies Journal, vol. 0(4A), pages 77-101.
    24. Yuki Amemiya & Akifumi Ishihara & Tomoya Nakamura, 2021. "Pre‐emptive production and market competitiveness in oligopoly with private information," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 30(2), pages 449-455, May.

    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:cor:louvrp:1257. 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: Alain GILLIS (email available below). General contact details of provider: https://edirc.repec.org/data/coreebe.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.