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.

Sequence Analysis of BHPS Life Courses Data

AASSVE, ARNSTEIN;BILLARI, FRANCESCO CANDELORO;PICCARRETA, RAFFAELLA
2004

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.
2004
9783540238096
M. VICHI; P. MONARI; S. MIGNANI; A. MONTANARI
New Developments in Classification and Data Analysis
Aassve, Arnstein; Billari, FRANCESCO CANDELORO; Piccarreta, Raffaella
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11565/53247
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact