IDEAS home Printed from
   My bibliography  Save this article

An Econometric-Driven Merger Simulation: Considerations and Application


  • T. Randolph Beard
  • George Ford
  • Richard Saba


In this paper, we offer a hybrid approach to merger simulation in which we allow rather extensive pre-testing to suggest the 'correct', or most desirable, form for the underlying demand curves. Our application is the merger between the large mobile telephone companies Cingular and AT&T Wireless in 2004. While a somewhat novel approach, our findings are not radical in any way, so the econometric determination of demand forms does not appear to produce novel conclusion per se. That said, allowing the data to inform the researcher about the appropriate form of demand seems a worthwhile effort for merger simulations, data permitting.

Suggested Citation

  • T. Randolph Beard & George Ford & Richard Saba, 2006. "An Econometric-Driven Merger Simulation: Considerations and Application," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 13(2), pages 217-228.
  • Handle: RePEc:taf:ijecbs:v:13:y:2006:i:2:p:217-228
    DOI: 10.1080/13571510600784466

    Download full text from publisher

    File URL:
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    1. James G. MacKinnon, 2002. "Bootstrap inference in econometrics," Canadian Journal of Economics, Canadian Economics Association, vol. 35(4), pages 615-645, November.
    Full references (including those not matched with items on IDEAS)


    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:taf:ijecbs:v:13:y:2006:i:2:p:217-228. 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: (Chris Longhurst). 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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.