IDEAS home Printed from https://ideas.repec.org/h/wsi/wschap/9789814287067_0008.html
   My bibliography  Save this book chapter

Price-Induced Patterns Of Competition

In: Perspectives On Promotion And Database Marketing The Collected Works of Robert C Blattberg

Author

Listed:
  • ROBERT C. BLATTBERG

    (University of Chicago, A. C. Nielsen, USA)

  • KENNETH J. WISNIEWSKI

    (University of Chicago, A. C. Nielsen, USA)

Abstract

This research focuses on how price changes influence the observed pattern of brand competition. The paper begins with a basic utility model formulation and examines the implications of three major classes of preference distributions on the expected patterns of competition. A price-tier model is proposed to operationalize the theory and to allow predictive testing. The price-tier model is estimated on 28 brands across four product categories.The results show a specific asymmetric pattern of price competition. Higher-price, higher quality brands steal share from other brands in the same price-quality tier, as well as from brands in the tier below. However, lower-price, lower-quality brands take sales from their own tier and the tier below brands, but do not steal significant share from the tiers above. The results are consistent with a bimodal preference distribution, with the regular price indifference point being located toward the lower-quality end of the preference distribution for the categories analyzed.

Suggested Citation

  • Robert C. Blattberg & Kenneth J. Wisniewski, 2010. "Price-Induced Patterns Of Competition," World Scientific Book Chapters, in: Greg M Allenby (ed.), Perspectives On Promotion And Database Marketing The Collected Works of Robert C Blattberg, chapter 8, pages 125-143, World Scientific Publishing Co. Pte. Ltd..
  • Handle: RePEc:wsi:wschap:9789814287067_0008
    as

    Download full text from publisher

    File URL: https://www.worldscientific.com/doi/pdf/10.1142/9789814287067_0008
    Download Restriction: Ebook Access is available upon purchase.

    File URL: https://www.worldscientific.com/doi/abs/10.1142/9789814287067_0008
    Download Restriction: Ebook Access is available upon purchase.
    ---><---

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

    More about this item

    Keywords

    Quantitative Marketing; Tracker Model; Customer Level Data; Marketing-Mix Modeling;
    All these keywords.

    JEL classification:

    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

    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:wsi:wschap:9789814287067_0008. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscientific.com/page/worldscibooks .

    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.