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Clustering households by time use patterns ; an empirical investigation using the German Time Use Survey 2001/2002


  • Grossmann, Stéphanie


Clustering individuals or households on the basis of socio-economic variables has become a widespread practice in German social research over the past few decades. This paper is part of a research project that explores results which may be obtained when time use patterns are chosen as the basis of numerical classification. Over the past few years, results relating to single households were published by the authors. The present paper extends the analysis to families. The investigation uses data from the German Time Use Survey 2001/2002. It is shown that the clustering process fulfils the criteria required by stochastic and qualitative social science. Furthermore, evidence is provided that including cluster memberships as dummy variables into a regressor set increases the predictive capabilities of a common multivariate analysis of correlations between socio-economic variables. Especially concerning health, meaningful interconnections between household styles and health state are detected.

Suggested Citation

  • Grossmann, Stéphanie, 2009. "Clustering households by time use patterns ; an empirical investigation using the German Time Use Survey 2001/2002," IÖB-Diskussionspapiere 3/09, University of Münster, Institute for Economic Education.
  • Handle: RePEc:zbw:ioebdp:309

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    References listed on IDEAS

    1. Sebastian Gundel & Heiko Peters, 2008. "What determines the duration of stay of immigrants in Germany?: Evidence from a longitudinal duration analysis," International Journal of Social Economics, Emerald Group Publishing, vol. 35(11), pages 769-782, September.
    2. Borjas, George J & Bratsberg, Bernt, 1996. "Who Leaves? The Outmigration of the Foreign-Born," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 165-176, February.
    3. Gert G. Wagner & Joachim R. Frick & Jürgen Schupp, 2007. "The German Socio-Economic Panel Study (SOEP) – Scope, Evolution and Enhancements," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 127(1), pages 139-169.
    4. Dustmann, Christian, 2003. "Return migration, wage differentials, and the optimal migration duration," European Economic Review, Elsevier, vol. 47(2), pages 353-369, April.
    5. Borjas, George J, 1989. "Immigrant and Emigrant Earnings: A Longitudinal Study," Economic Inquiry, Western Economic Association International, vol. 27(1), pages 21-37, January.
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    More about this item

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D19 - Microeconomics - - Household Behavior - - - Other
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification


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