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Decomposing demographic change into direct vs. compositional components

Author

Listed:
  • James Vaupel

    (Syddansk Universitet)

  • Vladimir Canudas-Romo

    (Australian National University)

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.

Suggested Citation

  • James Vaupel & Vladimir Canudas-Romo, 2002. "Decomposing demographic change into direct vs. compositional components," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 7(1), pages 1-14, July.
  • Handle: RePEc:dem:demres:v:7:y:2002:i:1
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    File URL: https://www.demographic-research.org/volumes/vol7/1/7-1.pdf
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    References listed on IDEAS

    as
    1. Samuel Preston & Christine Himes & Mitchell Eggers, 1989. "Demographic Conditions Responsible for Population Aging," Demography, Springer;Population Association of America (PAA), vol. 26(4), pages 691-704, November.
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    Citations

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    Cited by:

    1. Alexia Fürnkranz-Prskawetz & Barbara Zagaglia & Thomas Fent & Vegard Skirbekk, 2005. "Decomposing the change in labour force indicators over time," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 13(7), pages 163-188, October.
    2. 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.
    3. 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.
    4. Hiram Beltrán-Sánchez & 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.
    5. 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.
    6. 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 80001, Verein für Socialpolitik / German Economic Association.
    7. Brantley Liddle, 2003. "Demographic dynamics and per capita environmental impact: using panel regressions and household decompositions to examine population and transport," MPIDR Working Papers WP-2003-029, Max Planck Institute for Demographic Research, Rostock, Germany.

    More about this item

    Keywords

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

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

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