Clustering work and family trajectories by using a divisive algorithm

@article{Piccarreta2007ClusteringWA,
  title={Clustering work and family trajectories by using a divisive algorithm},
  author={Raffaella Piccarreta and Francesco C. Billari},
  journal={Journal of the Royal Statistical Society: Series A (Statistics in Society)},
  year={2007},
  volume={170}
}
  • R. Piccarreta, F. Billari
  • Published 1 October 2007
  • Computer Science
  • Journal of the Royal Statistical Society: Series A (Statistics in Society)
Summary.  We present an approach to the construction of clusters of life course trajectories and use it to obtain ideal types of trajectories that can be interpreted and analysed meaningfully. We represent life courses as sequences on a monthly timescale and apply optimal matching analysis to compute dissimilarities between individuals. We introduce a new divisive clustering algorithm which has features that are in common with both Ward's agglomerative algorithm and classification and… 
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References

SHOWING 1-10 OF 57 REFERENCES
Sequence Analysis of BHPS Life Course Data
TLDR
A methodology for clustering data from the British Household Panel Survey on employment and family trajectories of women is applied and possible approaches for how to best illustrate the composition of groups are elaborate.
Class careers as sequences : An optimal matching analysis of work-life histories
The authors apply optimal matching techniques to class careers from age 15 to age 35 for two moderately large samples, as a means of exploring the utility of this sequence-oriented approach for the
Employment status mobility from a life-cycle perspective
In this paper we apply optimal matching techniques to individual work-histories in the British Household Panel Survey (BHPS), with a two-fold objective. First, to explore the usefulness of this
Predicting successful and unsuccessful transitions from school to work by using sequence methods
Policy makers recognize the importance of identifying early young people who are likely to end up jobless on entry to the adult labour market. This paper uses sequence techniques to characterize 712
A dendrite method for cluster analysis
TLDR
A method for identifying clusters of points in a multidimensional Euclidean space is described and its application to taxonomy considered and an informal indicator of the "best number" of clusters is suggested.
Predicting Successful and Unsuccessful Transitions from School to Work Using Sequence Methods August 2000
Policy makers recognise the importance of early identification of young people that are likely to end up jobless on entry to the adult labour market. This paper uses sequencing techniques to
Early Career Patterns - A Comparison of Great Britain and West Germany
The transition from initial education to work has received a great amount of attention, but hardly any research treats this process holistically. This paper focuses on the serial succession of
Dissimilarity Analysis: a new Technique of Hierarchical Sub-division
TLDR
In hierarchical classifications each sub-group may be formed from the splitting into two parts of a larger group, or alternatively from the union of two smaller groups, but these procedures are repetitive, and ‘false’ decisions made in the early stages of the analysis will distort its subsequent course.
Lifestyle Preferences as Determinants of Women's Differentiated Labor Market Careers
Longitudinal studies have shown the long-term impact of attitudes, values, and aspirations on labor market behavior and outcomes. However, sociological theory has so far failed to incorporate this
Categorical and multivariate methods
TLDR
This book presents an easy to read and wide-ranging introduction to techniques in multivariate analysis including multidimensional contingency tables, logistic regression, cluster analysis, multiddimensional scaling, and correspondence analysis.
...
1
2
3
4
5
...