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Decomposing demographic change into direct vs. compositional components

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  • James W. Vaupel

    (Max Planck Institute for Demographic Research)

  • Vladimir Canudas-Romo

    (University of Copenhagen)

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    Abstract

    We present and prove a formula for decomposing change in a population average into two components. One component captures the effect of direct change in the characteristic of interest, and the other captures the effect of compositional change. The decomposition is applied to time derivatives of averages over age and over subpopulations. Examples include decomposition of the change over time in the average age at childbearing and in the general fertility rate for China, Denmark and Mexico. A decomposition of the change over time in the crude death rate in Denmark, Germany and the Netherlands is also presented. Other examples concern global life expectancy and the growth rate of the population of the world.

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    File URL: http://www.demographic-research.org/volumes/vol7/1/7-1.pdf
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    Bibliographic Info

    Article provided by Max Planck Institute for Demographic Research, Rostock, Germany in its journal Demographic Research.

    Volume (Year): 7 (2002)
    Issue (Month): 1 (July)
    Pages: 1-14

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    Handle: RePEc:dem:demres:v:7:y:2002:i:1

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    Web page: http://www.demogr.mpg.de/

    Related research

    Keywords: components of change; decomposition; derivatives of averages; formal demography;

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    References

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    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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    1. Samuel Preston & Christine Himes & Mitchell Eggers, 1989. "Demographic Conditions Responsible for Population Aging," Demography, Springer, Springer, vol. 26(4), pages 691-704, November.
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    Cited by:
    1. Robert Schoen & Vladimir Canudas-Romo, 2005. "Changing mortality and average cohort life expectancy," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 13(5), pages 117-142, October.
    2. Alexia Prskawetz & Barbara Zagaglia & Thomas Fent & Vegard Skirbekk, 2009. "Decomposing the Change in Labour Force Indicators over Time," European Demographic Research Papers, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna 0401, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna.
    3. Henseke, Golo & Tivig, Thusnelda, 2013. "Alterung in Berufen: Der Beitrag ökonomischer Einflüsse," Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order, Verein für Socialpolitik / German Economic Association 80001, Verein für Socialpolitik / German Economic Association.
    4. Roland Rau & Magdalena Muszyńska & Paul Eilers, 2013. "Minor gradient in mortality by education at the highest ages," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(19), pages 507-520, September.
    5. Brantley Liddle, 2003. "Demographic dynamics and per capita environmental impact: using panel regressions and household decompositions to examine population and transport," MPIDR Working Papers, Max Planck Institute for Demographic Research, Rostock, Germany WP-2003-029, Max Planck Institute for Demographic Research, Rostock, Germany.
    6. Roland Rau & Gabriele Doblhammer, 2003. "Seasonal mortality in Denmark," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 9(9), pages 197-222, November.
    7. Hiram Beltran-Sanchez & Samuel Preston & Vladimir Canudas-Romo, 2008. "An integrated approach to cause-of-death analysis: cause-deleted life tables and decompositions of life expectancy," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 19(35), pages 1323-1350, July.

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