IDEAS home Printed from
   My bibliography  Save this article

Modelling market shares by segments using volatility


  • Sharifah Sakinah Aidid
  • Mick Silver


This paper presents the results of market share modelling for individual segments of the UK tea market using scanner panel data. The study is novel in its introduction of the use of volatility as one of the bases for segmentation, others being usage, loyalty or switching between product types and product forms. The segmentation is undertaken on an a priori, quasi-experimental basis, allowing nested tests of constancy of elasticities across segments. The estimated equations (using seemingly unrelated regressions) benefit from extensive specification, including four diff erent forms for the price variable, four variables for promotion, and six for product characteristic, distribution and macroeconomic variables. Tests for the constancy of the parameters across segments show the segmentation to be successful.

Suggested Citation

  • Sharifah Sakinah Aidid & Mick Silver, 1999. "Modelling market shares by segments using volatility," Journal of Applied Statistics, Taylor & Francis Journals, vol. 26(5), pages 643-660.
  • Handle: RePEc:taf:japsta:v:26:y:1999:i:5:p:643-660
    DOI: 10.1080/02664769922296

    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. Gary M. Erickson, 1992. "Empirical Analysis of Closed-Loop Duopoly Advertising Strategies," Management Science, INFORMS, vol. 38(12), pages 1732-1749, December.
    2. Engle, R. F. & Granger, C. W. J. (ed.), 1991. "Long-Run Economic Relationships: Readings in Cointegration," OUP Catalogue, Oxford University Press, number 9780198283393.
    3. Phillips, P C B, 1987. "Time Series Regression with a Unit Root," Econometrica, Econometric Society, vol. 55(2), pages 277-301, March.
    4. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    5. Germano Mwabu & Martha Ainsworth & Andrew Nyamete, 1993. "Quality of Medical Care and Choice of Medical Treatment in Kenya: An Empirical Analysis," Journal of Human Resources, University of Wisconsin Press, vol. 28(4), pages 838-862.
    6. Phillips, P C B, 1987. "Time Series Regression with a Unit Root," Econometrica, Econometric Society, vol. 55(2), pages 277-301, March.
    7. Zahorik, Anthony J., 1994. "A nonhierarchical brand switching model for inferring market structure," European Journal of Operational Research, Elsevier, vol. 76(2), pages 344-358, July.
    8. Givon, Moshe & Muller, Eitan, 1994. "Cyclical patterns in brand switching behavior: An issue of pattern recognition," European Journal of Operational Research, Elsevier, vol. 76(2), pages 290-297, July.
    Full references (including those not matched with items on IDEAS)

    More about this item


    Access and download statistics


    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:japsta:v:26:y:1999:i:5:p:643-660. 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.