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Modelling market shares by segments using volatility

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  • Sharifah Sakinah Aidid
  • Mick Silver

Abstract

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
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    References listed on IDEAS

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    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.
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