Abstract
We apply a methodology for clustering data from the British Household Panel Survey (BHPS) on employment and family trajectories of women. We represent life courses as sequences on a monthly time scale and we apply optimal matching analysis to compute dissimilarities between individuals. We then use standard clustering algorithms to identify distinctive groups. As the interpretation and presentation of cluster analysis of life-course data is an important and still unresolved issue, we elaborate on possible approaches for how to best illustrate the composition of groups. Our results are interpreted in light of the socio-demographic literature.
The authors have equally contributed to this work. However, A. Aassve and F. C. Billari drafted Section 1, R. Piccarreta drafted Section 2, F. C. Billari and R. Piccarreta drafted Section 3
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© 2005 Springer-Verlag Berlin · Heidelberg
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Aassve, A., Billari, F.C., Piccarreta, R. (2005). Sequence Analysis of BHPS Life Course Data. In: Bock, HH., et al. New Developments in Classification and Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-27373-5_33
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DOI: https://doi.org/10.1007/3-540-27373-5_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23809-6
Online ISBN: 978-3-540-27373-8
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