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Discrete-time discrete-state latent Markov modelling for assessing and predicting household acquisitions of financial products

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  • Paas, L.J.

    (Tilburg University, School of Economics and Management)

  • Vermunt, J.K.

    (Tilburg University, School of Economics and Management)

  • Bijmolt, T.H.A.

    (Tilburg University, School of Economics and Management)

Abstract

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  • Paas, L.J. & Vermunt, J.K. & Bijmolt, T.H.A., 2007. "Discrete-time discrete-state latent Markov modelling for assessing and predicting household acquisitions of financial products," Other publications TiSEM 5781ab33-6687-4ad5-b57a-3, Tilburg University, School of Economics and Management.
    • Handle: RePEc:tiu:tiutis:5781ab33-6687-4ad5-b57a-33cde3bf54b0
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    References listed on IDEAS

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    1. Gatignon, Hubert & Robertson, Thomas S, 1985. "A Propositional Inventory for New Diffusion Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 11(4), pages 849-867, March.
    2. Geoffrey Soutar & Steven Cornish-Ward, 1997. "Ownership patterns for durable goods and financial assets: a Rasch analysis," Applied Economics, Taylor & Francis Journals, vol. 29(7), pages 903-911.
    3. Sen, Amartya, 1997. "On Economic Inequality," OUP Catalogue, Oxford University Press, number 9780198292975.
    4. Martin Browning & Annamaria Lusardi, 1996. "Household Saving: Micro Theories and Micro Facts," Journal of Economic Literature, American Economic Association, vol. 34(4), pages 1797-1855, December.
    5. Francesco Bartolucci & Fulvia Pennoni & Brian Francis, 2007. "A latent Markov model for detecting patterns of criminal activity," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(1), pages 115-132, January.
    6. Mark Uncles & Andrew Ehrenberg & Kathy Hammond, 1995. "Patterns of Buyer Behavior: Regularities, Models, and Extensions," Marketing Science, INFORMS, vol. 14(3_supplem), pages 71-78.
    7. Leonard J. Paas & Anton A.A. Kuijlen & Theo B.C. Poiesz, 2005. "Acquisition Pattern Analysis for Relationship Marketing: A Conceptual and Methodological Redefinition," The Service Industries Journal, Taylor & Francis Journals, vol. 25(5), pages 661-673, July.
    8. Bijmolt, T.H.A. & Paas, L.J. & Vermunt, J.K., 2004. "Country and consumer segmentation : Multi-level latent class analysis of financial product ownership," Other publications TiSEM fb506162-d125-4091-9083-9, Tilburg University, School of Economics and Management.
    9. Paul Fearnhead & Loukia Meligkotsidou, 2004. "Exact filtering for partially observed continuous time models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 66(3), pages 771-789, August.
    10. C. Proctor, 1970. "A probabilistic formulation and statistical analysis of guttman scaling," Psychometrika, Springer;The Psychometric Society, vol. 35(1), pages 73-78, March.
    11. Erdem, Tulin & Sun, Baohong, 2001. "Testing for Choice Dynamics in Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(2), pages 142-152, April.
    12. Paas, Leonard J., 1998. "Mokken scaling characteristic sets and acquisition patterns of durable- and financial products," Journal of Economic Psychology, Elsevier, vol. 19(3), pages 353-376, June.
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    Cited by:

    1. Francesco Dotto & Alessio Farcomeni & Maria Grazia Pittau & Roberto Zelli, 2019. "A dynamic inhomogeneous latent state model for measuring material deprivation," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 182(2), pages 495-516, February.
    2. Fulvia Pennoni & Ewa Genge, 2020. "Analysing the course of public trust via hidden Markov models: a focus on the Polish society," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 29(2), pages 399-425, June.
    3. Leeflang, Peter S.H. & Bijmolt, Tammo H.A. & van Doorn, Jenny & Hanssens, Dominique M. & van Heerde, Harald J. & Verhoef, Peter C. & Wieringa, Jaap E., 2009. "Creating lift versus building the base: Current trends in marketing dynamics," International Journal of Research in Marketing, Elsevier, vol. 26(1), pages 13-20.
    4. Marc A. Scott & Kaushik Mohan & Jacques‐Antoine Gauthier, 2020. "Model‐based clustering and analysis of life history data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 1231-1251, June.
    5. Solomon Zena Walelign & Mariève Pouliot & Helle Overgaard Larsen & Carsten Smith-Hall, 2015. "A novel approach to dynamic livelihood clustering: Empirical evidence from Nepal," IFRO Working Paper 2015/09, University of Copenhagen, Department of Food and Resource Economics.
    6. Martino, Andrea & Guatteri, Giuseppina & Paganoni, Anna Maria, 2020. "Hidden Markov Models for multivariate functional data," Statistics & Probability Letters, Elsevier, vol. 167(C).
    7. Francesco Bartolucci & Ivonne Solis-Trapala, 2010. "Multidimensional Latent Markov Models in a Developmental Study of Inhibitory Control and Attentional Flexibility in Early Childhood," Psychometrika, Springer;The Psychometric Society, vol. 75(4), pages 725-743, December.
    8. Luca De Angelis & Leonard J. Paas, 2013. "A dynamic analysis of stock markets using a hidden Markov model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 40(8), pages 1682-1700, August.
    9. De Angelis, L & Paas, L.J., 2009. "The dynamic analysis and prediction of stock markets through the latent Markov model," Serie Research Memoranda 0053, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    10. Hans Jørn Juhl & Morten H. J. Fenger & John Thøgersen, 2017. "Will the Consistent Organic Food Consumer Step Forward? An Empirical Analysis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 44(3), pages 519-535.

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