Abstract
We consider the problem of clustering demographic life courses, consistently with the so-called sequence representation. We use a monothetic divisive algorithm, which allows for a better readability of results with respect to the increasingly common approach based on optimal matching analysis. The algorithm eases the interpretation of splitting procedures and determinants of group membership when data represent the occurrence or non-occurrence of non-renewable events. We then apply the algorithm to the transition to adulthood in Italy, using retrospective individual-level data from a Fertility and Family Survey.
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© 2001 Springer-Verlag Berlin Heidelberg
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Billari, F.C., Piccarreta, R. (2001). Life Courses as Sequences: an Experiment in Clustering via Monothetic Divisive Algorithms. In: Borra, S., Rocci, R., Vichi, M., Schader, M. (eds) Advances in Classification and Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-59471-7_43
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DOI: https://doi.org/10.1007/978-3-642-59471-7_43
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