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Age groups and the measure of population aging

Author

Listed:
  • Hippolyte d'Albis

  • Fabrice Collard

Abstract

Background: Measures of population aging are important because they shape our perception of demographic trends. Indicators of aging based on fixed ages contributed to a dramatic portrayal of demographic evolutions, some of which were associated with the myth of decline. Objective: We propose a new measure of population aging, based on the relative age of each individual in the population. Our approach builds on previous work by Aghevli and Mehran (1981) and relies on optimal grouping techniques that are used to determine the various age groups within a population. The cutoff ages for these groups, such as the age from which an individual is considered to be an older person, are then endogenous variables that depend on the entire population age distribution at any given moment. Methods: We show how to apply optimal grouping techniques to age distributions and how to calculate various indicators of aging, which are invariant with respect to proportional rescaling of distributions. We compute these indicators for the US, and a sample of 13 other industrialized countries. Results: We find that, contrary to common arguments for an aging population, the share of elderly individuals within the total population has not increased much, and has remained stable in these countries. These results complement and reinforce the earlier findings of Sanderson and Scherbov (2005, 2007) who also reassessed the aging phenomenon.
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Hippolyte d'Albis & Fabrice Collard, 2013. "Age groups and the measure of population aging," PSE-Ecole d'économie de Paris (Postprint) hal-01015396, HAL.
    • Handle: RePEc:hal:pseptp:hal-01015396
    DOI: 10.4054/DemRes.2013.29.23
    Note: View the original document on HAL open archive server: https://hal.archives-ouvertes.fr/hal-01015396
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    Cited by:

    1. Roberta Paroli & Guido Consonni & Alessandro Rosina, 2020. "The Measure of Population Aging in Different Welfare Regimes: A Bayesian Dynamic Modeling Approach," European Journal of Population, Springer;European Association for Population Studies, vol. 36(2), pages 363-385, April.
    2. Hippolyte d’Albis & Ikpidi Badji, 2017. "Intergenerational inequalities in standards of living in France," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 491-492, pages 71-92.
    3. Florian Bonnet & Hippolyte d'Albis, 2020. "Spatial Inequality in Mortality in France over the Past Two Centuries," Population and Development Review, The Population Council, Inc., vol. 46(1), pages 145-168, March.
    4. N Renuga Nagarajan & Mineko Wada & Mei Lan Fang & Andrew Sixsmith, 2019. "Defining organizational contributions to sustaining an ageing workforce: a bibliometric review," European Journal of Ageing, Springer, vol. 16(3), pages 337-361, September.
    5. Ghassan, Hassan & Alhajhoj, Hassan R. & Balli, Faruk, 2018. "Bi-Demographic Changes and Current Account using SVAR Modeling: Evidence from Saudi Arabia," MPRA Paper 93013, University Library of Munich, Germany, revised 01 Feb 2019.
    6. Hippolyte d'Albis & Ikpidi Badji, 2017. "Les inégalités de niveaux de vie entre les générations en France," PSE-Ecole d'économie de Paris (Postprint) halshs-01524882, HAL.
    7. Douglas, Evan J. & Shepherd, Dean A. & Venugopal, Vidhula, 2021. "A multi-motivational general model of entrepreneurial intention," Journal of Business Venturing, Elsevier, vol. 36(4).
    8. Hippolyte d'Albis & Fabrice Collard, 2013. "Age groups and the measure of population aging," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(23), pages 617-640.
    9. Hassan Belkacem Ghassan & Hassan Rafdan Al-Hajhoj & Faruk Balli, 2019. "Bi-Demographic Changes and Current Account using SVAR Modeling: Evidence from Saudi Economy," Working Papers hal-01742574, HAL.
    10. Hassan B. Ghassan & Hassan R. Al-Hajhoj & Faruk Balli, 2018. "Bi-Demographic Changes and Current Account using SVAR Modeling," Papers 1803.11161, arXiv.org, revised Mar 2019.
    11. Lei Zhang & Jie Tang & Meisa Xu & Daliang Zhang & Haixiao Chen & Dayong Zhang, 2024. "Spatial-temporal evolution of population aging in the yangtze river delta urban agglomeration of China," PLOS ONE, Public Library of Science, vol. 19(2), pages 1-15, February.

    More about this item

    JEL classification:

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

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