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Complex Models and Computational Methods in Statistics pp 27–36Cite as

Longitudinal Patterns of Financial Product Ownership: A Latent Growth Mixture Approach

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Part of the book series: Contributions to Statistics ((CONTRIB.STAT.))

Abstract

The main goal of this study is to analyze the dynamic process of financial product ownership under the assumption of heterogeneous growth by latent growth mixture models. Using panel data from a survey conducted by the Bank of Italy, we conclude that the trajectory of Italian households in terms of financial product ownership in the period 2000–2006 is homogeneous. Moreover, the process allowed the identification of an outlier trajectory and the obtainment of robust estimates for the population parameters.

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Acknowledgements

Research for this paper was supported by the project financed by the Italian Ministry of University and Education PRIN 2009 with title “The influence of social contexts and consumption circumstances in the perception of cognitive age in older consumers: assessment and new statistical methods of measurement” and Fundação para a Ciência e a Tecnologia (Portugal) Grant PTDC/CS-DEM/108033/2008.

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Authors and Affiliations

  1. Department of Statistical Sciences, University of Padua, Padua, Italy

    Francesca Bassi

  2. ISCTE–IUL, Instituto Universitário de Lisboa, Lisboa, Portugal

    José G. Dias

Authors
  1. Francesca Bassi
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  2. José G. Dias
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Corresponding author

Correspondence to Francesca Bassi .

Editor information

Editors and Affiliations

  1. , Statistical Sciences, University of Padua, Padua, Italy, Via Cesare Battisti 241, Padova, 35121, Italy

    Matteo Grigoletto

  2. , Statistical Sciences, University of Padua, Padua, Italy, Via Cesare Battisti 241, Padova, 35121, Italy

    Francesco Lisi

  3. , Dept of Decision Sciences, Bocconi University, Via Roentgen 1, Milano, 20123, Milano, Italy

    Sonia Petrone

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Bassi, F., Dias, J.G. (2013). Longitudinal Patterns of Financial Product Ownership: A Latent Growth Mixture Approach. In: Grigoletto, M., Lisi, F., Petrone, S. (eds) Complex Models and Computational Methods in Statistics. Contributions to Statistics. Springer, Milano. https://doi.org/10.1007/978-88-470-2871-5_3

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