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Tables de mortalité d’expérience incorporant une échelle de projection : adaptation aux cas des retraités en Algérie
[Experience life tables incorporating a projection scale : adaptation to the case of retirees in Algeria]

Author

Listed:
  • FLICI, Farid
  • SENOUCI, Khadidja
  • HANNANI, Yasmine

Abstract

Mortality data for Algerian retirees are not available for long periods allowing a direct application of prospective mortality models. The positioning of the experience mortality on an external reference is one of the technical solutions to circumvent data problem. Nevertheless, this procedure remains a little complicated because it requires finding an adequate external reference and to forecast the reference mortality before to be able to project the experience mortality. In this work, we propose a simpler and more efficient method. Starting from a periodic life table of retirees, for which a projection scale is applied, the projected experience mortality rates can be deduced. The results show that retired men have no significant advantages compared to the rest of the population. By contrast, at age 50, retired women can expect to live three years longer than women of the rest of the population.

Suggested Citation

  • FLICI, Farid & SENOUCI, Khadidja & HANNANI, Yasmine, 2017. "Tables de mortalité d’expérience incorporant une échelle de projection : adaptation aux cas des retraités en Algérie [Experience life tables incorporating a projection scale : adaptation to the cas," MPRA Paper 91918, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:91918
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    References listed on IDEAS

    as
    1. FLICI, Farid, 2015. "Provisionnement des rentes viagères en Algérie entre approche statique et approche prospective [Life Annuities Reserving in Algeria between static approach and prospective approach]," MPRA Paper 91917, University Library of Munich, Germany.
    2. Rob Hyndman & Heather Booth & Farah Yasmeen, 2013. "Coherent Mortality Forecasting: The Product-Ratio Method With Functional Time Series Models," Demography, Springer;Population Association of America (PAA), vol. 50(1), pages 261-283, February.
    3. Bodie, Zvi & Shoven, John B. & Wise, David A. (ed.), 1987. "Issues in Pension Economics," National Bureau of Economic Research Books, University of Chicago Press, edition 1, number 9780226062846, August.
    4. Andrew J. G. Cairns & David Blake & Kevin Dowd, 2006. "A Two‐Factor Model for Stochastic Mortality with Parameter Uncertainty: Theory and Calibration," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 73(4), pages 687-718, December.
    5. Robert C. Merton & Zvi Bodie & Alan Marcus, 1987. "Pension Plan Integration As Insurance Against Social Security Risk," NBER Chapters, in: Issues in Pension Economics, pages 147-172, National Bureau of Economic Research, Inc.
    6. Andrew Cairns & David Blake & Kevin Dowd & Guy Coughlan & David Epstein & Alen Ong & Igor Balevich, 2009. "A Quantitative Comparison of Stochastic Mortality Models Using Data From England and Wales and the United States," North American Actuarial Journal, Taylor & Francis Journals, vol. 13(1), pages 1-35.
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    More about this item

    Keywords

    Mortality; retirement; experience; improvement scale; Algeria;
    All these keywords.

    JEL classification:

    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination

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