IDEAS home Printed from https://ideas.repec.org/h/spr/lnechp/978-3-319-09578-3_3.html
   My bibliography  Save this book chapter

The “Win-Continue, Lose-Reverse” Rule in Cournot Oligopolies: Robustness of Collusive Outcomes

In: Advances in Artificial Economics

Author

Listed:
  • Segismundo S. Izquierdo

    (Universidad de Valladolid)

  • Luis R. Izquierdo

    (Universidad de Burgos)

Abstract

The so-called “Win-Continue, Lose-Reverse” (WCLR) rule is a simple procedure that can be used to choose a value for any numeric variable (e.g. setting a production level to maximise profit). The rule dictates that one should evaluate the consequences of the last adjustment made to the value (e.g. an increase or a decrease in production), and keep on changing the value in the same direction if the adjustment led to an improvement (e.g. if it led to greater profits), or reverse the direction of change otherwise. Somewhat surprisingly, this simple rule has been shown to lead to collusive outcomes in Cournot oligopolies, even though its application requires no information whatsoever about the choices made by any competing firms or about their results. Firms applying the WCLR rule need only know whether the last change in their own production turned out to be profitable or not; thus, there is no room for explicit coordination or collusion. In this paper we show that the convergence of the WCLR rule towards collusive outcomes can be very sensitive to small independent perturbations in the cost functions and in the income functions of the firms. These perturbations typically push the process towards the Cournot–Nash equilibrium of the one-shot game. Importantly, the destabilizing power of the independent perturbations is mainly due to the fact that they create miscoordination among the firms. In fact, if there is correlation between the perturbations, their impact on the dynamics of the model is not so dramatic.

Suggested Citation

  • Segismundo S. Izquierdo & Luis R. Izquierdo, 2015. "The “Win-Continue, Lose-Reverse” Rule in Cournot Oligopolies: Robustness of Collusive Outcomes," Lecture Notes in Economics and Mathematical Systems, in: Frédéric Amblard & Francisco J. Miguel & Adrien Blanchet & Benoit Gaudou (ed.), Advances in Artificial Economics, edition 127, pages 33-44, Springer.
  • Handle: RePEc:spr:lnechp:978-3-319-09578-3_3
    DOI: 10.1007/978-3-319-09578-3_3
    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. Axel Gautier & Ashwin Ittoo & Pieter Cleynenbreugel, 2020. "AI algorithms, price discrimination and collusion: a technological, economic and legal perspective," European Journal of Law and Economics, Springer, vol. 50(3), pages 405-435, December.

    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:spr:lnechp:978-3-319-09578-3_3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.