Dynamic segmentation with growth mixture models

Francesca Bassi ()
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Francesca Bassi: University of Padua

Advances in Data Analysis and Classification, 2016, vol. 10, issue 2, No 9, 263-279

Abstract: Abstract This paper proposes a new approach to dynamically segment markets. Dynamic segmentation i of key importance in many markets where it is unrealistic to assume stationary segments due to the dynamics in consumers’ needs and product choices. The main goal of the study is to analyse the dynamic process of financial product ownership under the assumption of heterogeneous growth in different segments taking into account significant determinants of growth trajectories. Using data from 2002 to 2010 collected by the Survey of Household Income and Wealth conducted by the Bank of Italy, this article shows that the Italian market of financial products is segmented and that this behavior’s trajectories over time are significantly influenced by the area of the country where the family lives and head of household’s education and gender.

Keywords: Latent growth; Segmentation; Financial market; Mixture model; 62H30; 91B62 (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s11634-015-0230-x

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