IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-031-64273-9_30.html
   My bibliography  Save this book chapter

Cliometrics and Actuarial Science: New Avenues for Enriching Prospective Mortality Table Construction Models

In: Mathematical and Statistical Methods for Actuarial Sciences and Finance

Author

Listed:
  • Kué Gilles Gaba

    (Université Lyon 1, Laboratoire SAF, Institut de Science Financière et d’Assurances)

  • Stéphane Loisel

    (Conservatoire National des Arts et Métiers, Laboratoire LIRSA)

  • Antoine Parent

    (Université Paris 8, Laboratoire d’Économie Dionysien)

Abstract

In a cliometric context of demographic and epidemiological transitions, we have improved the accuracy of actuarial age-specific mortality projections by develop-ing the multifactor composite PCR-optimal/PLS model. The results show that the proposed model performs well compared to conventional approaches, although variations by age bracket suggest opportunities for improvement.

Suggested Citation

  • Kué Gilles Gaba & Stéphane Loisel & Antoine Parent, 2024. "Cliometrics and Actuarial Science: New Avenues for Enriching Prospective Mortality Table Construction Models," Springer Books, in: Marco Corazza & Frédéric Gannon & Florence Legros & Claudio Pizzi & Vincent Touzé (ed.), Mathematical and Statistical Methods for Actuarial Sciences and Finance, pages 179-185, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-64273-9_30
    DOI: 10.1007/978-3-031-64273-9_30
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    Other versions of this item:

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:spr:sprchp:978-3-031-64273-9_30. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.