IDEAS home Printed from https://ideas.repec.org/p/arx/papers/1001.1916.html
   My bibliography  Save this paper

Utilisation des m\'ethodes de Lee-Carter et Log-Poisson pour l'ajustement de tables de mortalit\'e dans le cas de petits \'echantillons

Author

Listed:
  • Fr'ed'eric Planchet

    (SAF)

  • Vincent Lelieur

    (SAF)

Abstract

The aim of this paper is to study the construction of prospective mortality tables from a low number of persons subjected to risk. The presented models are the Lee-Carter and log-Poisson methods respectively. The low number of people subjected to risk, particularly noticed for the persons who are getting on, implies the use of an extrapolation method for the mortality rates. The Lee-Carter and log-Poisson methods constitute twodimensional models, taking the year and the age into account to calculate the mortality rates. The methods suggested are applied to a real data set. The prospective tables, built in this way, allow to project the rates' evolution in the future, extrapolating the temporal constituent. And then, it allows to compare this projection with the evolution predicted for the French population in its entirety. You determine the best method through the nearness of the smoothed rates in comparison with the raw rates and essentially through the caution of these models for the life annuities' calculation. The results stemed from these methods are too confronted with the mortality rates obtained through a method of logistic fits.

Suggested Citation

  • Fr'ed'eric Planchet & Vincent Lelieur, 2010. "Utilisation des m\'ethodes de Lee-Carter et Log-Poisson pour l'ajustement de tables de mortalit\'e dans le cas de petits \'echantillons," Papers 1001.1916, arXiv.org.
    • Handle: RePEc:arx:papers:1001.1916
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/1001.1916
    File Function: Latest version
    Download Restriction: no
    ---><---

    More about this item

    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:arx:papers:1001.1916. 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    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.