Arbeitspapier
Clustering life trajectories: A new divisive hierarchical clustering algorithm for discrete-valued discrete time series
A new algorithm for clustering life course trajectories is presented and tested with large register data. Life courses are represented as sequences on a monthly timescale for the working-life with an age span from 16-65. A meaningful clustering result for this kind of data provides interesting subgroups with similar life course trajectories. The high sampling rate allows precise discrimination of the different subgroups, but it produces a lot of highly correlated data for phases with low variability. The main challenge is to select the variables (points in time) that carry most of the relevant information. The new algorithm deals with this problem by simultaneously clustering and identifying critical junctures for each of the relevant subgroups. The developed divisive algorithm is able to handle large amounts of data with multiple dimensions within reasonable time. This is demonstrated on data from the Federal German pension insurance.
- Sprache
-
Englisch
- Erschienen in
-
Series: ZEW Discussion Papers ; No. 11-015
- Klassifikation
-
Wirtschaft
Multiple or Simultaneous Equation Models: Panel Data Models; Spatio-temporal Models
Multiple or Simultaneous Equation Models: Classification Methods; Cluster Analysis; Principal Components; Factor Models
Labor and Demographic Economics: General
- Thema
-
Clustering
measures of association
discrete data
time series
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Dlugosz, Stephan
- Ereignis
-
Veröffentlichung
- (wer)
-
Zentrum für Europäische Wirtschaftsforschung (ZEW)
- (wo)
-
Mannheim
- (wann)
-
2011
- Handle
- URN
-
urn:nbn:de:bsz:180-madoc-31434
- Letzte Aktualisierung
-
10.03.2025, 11:44 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Dlugosz, Stephan
- Zentrum für Europäische Wirtschaftsforschung (ZEW)
Entstanden
- 2011
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