IDEAS home Printed from https://ideas.repec.org/a/nse/ecosta/ecostat_2020_520d_5.html
   My bibliography  Save this article

Is the Ageing of the French Population Unavoidable?

Author

Listed:
  • Nathalie Blanpain

Abstract

[eng] A population projection is not a certain prediction, but rather an estimate of what the future evolution of the population might be under certain assumptions about changes in mortality, fertility and migration, around a central scenario that suggests a continuation of recent demographic trends. This article looks at the assumptions made for the population projections conducted for France in 2016. It first reviews the approach used by Insee to establish them, and then examines the more or less certain nature of the main results. The ageing process observed for more than a century is expected to continue; however, if an indicator based on "prospective age" is used, the population would not age. The evolution of the population as a whole is uncertain. In 2070, the size of the population of the 28-member European Union would be close to that of 2019. The improvement in life expectancy combined with a positive migratory balance would compensate for a fertility level that does not allow for the renewal of generations.

Suggested Citation

  • Nathalie Blanpain, 2020. "Is the Ageing of the French Population Unavoidable?," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 520-521, pages 65-85.
  • Handle: RePEc:nse:ecosta:ecostat_2020_520d_5
    DOI: https://doi.org/10.24187/ecostat.2020.520d.2029
    as

    Download full text from publisher

    File URL: https://www.insee.fr/en/statistiques/fichier/4997863/05-ES-520-521_Blanpain-EN.pdf
    Download Restriction: no

    File URL: https://libkey.io/https://doi.org/10.24187/ecostat.2020.520d.2029?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Nico Keilman, 2020. "Evaluating Probabilistic Population Forecasts," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 520-521, pages 49-64.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Barigou, Karim & Goffard, Pierre-Olivier & Loisel, Stéphane & Salhi, Yahia, 2023. "Bayesian model averaging for mortality forecasting using leave-future-out validation," International Journal of Forecasting, Elsevier, vol. 39(2), pages 674-690.

    More about this item

    JEL classification:

    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • N34 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy - - - Europe: 1913-

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nse:ecosta:ecostat_2020_520d_5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Veronique Egloff (email available below). General contact details of provider: https://edirc.repec.org/data/inseefr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.