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Complexity of Categorical Time Series

Author

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  • Cees H. Elzinga

    (Vrije Universiteit Amsterdam, Amsterdam, The Netherlands, ch.elzinga@fsw.vu.nl)

Abstract

Categorical time series, covering comparable time spans, are often quite different in a number of aspects: the number of distinct states, the number of transitions, and the distribution of durations over states. Each of these aspects contributes to an aggregate property of such series that is called complexity. Among sociologists and demographers, complexity is believed to systematically differ between groups as a result of social structure or social change. Such groups differ in, for example, age, gender, or status. The author proposes quantifications of complexity, based upon the number of distinct subsequences in combination with, in case of associated durations, the variance of these durations. A simple algorithm to compute these coefficients is provided and some of the statistical properties of the coefficients are investigated in an application to family formation histories of young American females.

Suggested Citation

  • Cees H. Elzinga, 2010. "Complexity of Categorical Time Series," Sociological Methods & Research, , vol. 38(3), pages 463-481, February.
    • Handle: RePEc:sae:somere:v:38:y:2010:i:3:p:463-481
    DOI: 10.1177/0049124109357535
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    References listed on IDEAS

    as
    1. Cees H. Elzinga, 2005. "Combinatorial Representations of Token Sequences," Journal of Classification, Springer;The Classification Society, vol. 22(1), pages 87-118, June.
    2. Cees H. Elzinga & Aart C. Liefbroer, 2007. "De-standardization of Family-Life Trajectories of Young Adults: A Cross-National Comparison Using Sequence Analysis," European Journal of Population, Springer;European Association for Population Studies, vol. 23(3), pages 225-250, October.
    3. Melinda Mills, 2004. "Stability and Change: The Structuration of Partnership Histories in Canada, the Netherlands, and the Russian Federation," European Journal of Population, Springer;European Association for Population Studies, vol. 20(2), pages 141-175, June.
    4. Duncan McVicar & Michael Anyadike‐Danes, 2002. "Predicting successful and unsuccessful transitions from school to work by using sequence methods," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 165(2), pages 317-334, June.
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    Cited by:

    1. Jalovaara, Marika & Fasang, Anette Eva, 2017. "From never partnered to serial cohabitors: union trajectories to childlessness," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 36, pages 1703-1720.
    2. Maria Sironi & Nicola Barban & Roberto Impiacciatore, 2013. "The Role of Parental Social Class in the Transition to Adulthood: A Sequence Analysis Approach in Italy and the United States," Working Papers 059, "Carlo F. Dondena" Centre for Research on Social Dynamics (DONDENA), Università Commerciale Luigi Bocconi.
    3. Marika Jalovaara & Anette Fasang, 2017. "From never partnered to serial cohabitors: Union trajectories to childlessness," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 36(55), pages 1703-1720.

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