IDEAS home Printed from https://ideas.repec.org/p/vnm/wpdman/132.html
   My bibliography  Save this paper

A multi criteria study of collusion risk factors

Author

Listed:
  • Andrea Ellero

    (Dept. of Management, Università Ca' Foscari Venice)

  • Paola Ferretti

    (Dept. of Management, Università Ca' Foscari Venice)

  • Elena Zocchia

    (Dept. of Management, Università Ca' Foscari Venice)

Abstract

Market features can be considered as forerunners of the European CommissionÕs actions aimed at recognizing collusive behaviours. To identify information that might support the Commission in the exercise of its role of antitrust authority we propose a multi criteria approach. Its focus is on the manufacturing sector and the aim is also to prevent undesired behaviours. Market sector features, such as price-cost margin or market entrance rate, are linked to the likelihood of a collusive behaviour in the sector in terms of Òimplications rulesÓ by means of Dominance- based Rough Set Approach. Data come from institutional sources concerning different manufacturing sectors from five countries (France, Germany, Italy, Spain and United Kingdom) from 2000 to 2010.

Suggested Citation

  • Andrea Ellero & Paola Ferretti & Elena Zocchia, 2016. "A multi criteria study of collusion risk factors," Working Papers 21, Department of Management, Università Ca' Foscari Venezia.
    • Handle: RePEc:vnm:wpdman:132
    as

    Download full text from publisher

    File URL: http://virgo.unive.it/wpideas/storage/2016wp21.pdf
    File Function: First version, 2016
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    collusion prevention; manufacturing sector; dominance based rough set approach; multi-criteria;
    All these keywords.

    JEL classification:

    • M40 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:vnm:wpdman:132. 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: Marco LiCalzi (email available below). General contact details of provider: https://edirc.repec.org/data/mdvenit.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.