IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/92173.html
   My bibliography  Save this paper

Mortality forecasting for the Algerian population with considering cohort effect

Author

Listed:
  • Flici, Farid

Abstract

Mortality forecasting became a big challenge not only for demographers but also for actuaries. Different models were proposed for this issue while insuring effciency and simplicity. These models have been based on time and age dimensions. The analysis of mortality reductions schemes by age shows some inequalities related to age. Generally, the difference is well apparent between lower and higher ages. This can't be only tied to time, but also to the year of birth. Considering the cohort effect in morality forecasting has to improve the fitting quality. In the present paper, we propose to forecast the age-specific mortality rates in Algeria with considering cohort effect by comparison a set of models.

Suggested Citation

  • Flici, Farid, 2015. "Mortality forecasting for the Algerian population with considering cohort effect," MPRA Paper 92173, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:92173
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/92173/1/IAALS-Flici.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    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. Bengtsson, Tommy & Broström, Göran, 2009. "Do conditions in early life affect old-age mortality directly and indirectly? Evidence from 19th-century rural Sweden," Social Science & Medicine, Elsevier, vol. 68(9), pages 1583-1590, May.
    3. Renshaw, A.E. & Haberman, S., 2006. "A cohort-based extension to the Lee-Carter model for mortality reduction factors," Insurance: Mathematics and Economics, Elsevier, vol. 38(3), pages 556-570, June.
    4. FLICI, Farid, 2015. "Estimation of the missing data in the Algerian mortality surface by using an age-time-segmented Lee-Carter Model," SocArXiv xufwg, Center for Open Science.
    5. Haberman, Steven & Renshaw, Arthur, 2009. "On age-period-cohort parametric mortality rate projections," Insurance: Mathematics and Economics, Elsevier, vol. 45(2), pages 255-270, October.
    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. Flici, Farrid, 2016. "Projection des taux de mortalité par âges pour la population algérienne [Forecasting The Age Specific Mortality Rates For The Algerian Population]," MPRA Paper 98784, University Library of Munich, Germany, revised Dec 2016.
    2. Li, Johnny Siu-Hang, 2010. "Pricing longevity risk with the parametric bootstrap: A maximum entropy approach," Insurance: Mathematics and Economics, Elsevier, vol. 47(2), pages 176-186, October.
    3. Hunt, Andrew & Villegas, Andrés M., 2015. "Robustness and convergence in the Lee–Carter model with cohort effects," Insurance: Mathematics and Economics, Elsevier, vol. 64(C), pages 186-202.
    4. Blake, David & Cairns, Andrew J.G., 2021. "Longevity risk and capital markets: The 2019-20 update," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 395-439.
    5. Ana Debón & Steven Haberman & Francisco Montes & Edoardo Otranto, 2021. "Do Different Models Induce Changes in Mortality Indicators? That Is a Key Question for Extending the Lee-Carter Model," IJERPH, MDPI, vol. 18(4), pages 1-16, February.
    6. Blake, David & El Karoui, Nicole & Loisel, Stéphane & MacMinn, Richard, 2018. "Longevity risk and capital markets: The 2015–16 update," Insurance: Mathematics and Economics, Elsevier, vol. 78(C), pages 157-173.
    7. Paola Biffi & Gian Clemente, 2014. "Selecting stochastic mortality models for the Italian population," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 37(2), pages 255-286, October.
    8. Beutner, Eric & Reese, Simon & Urbain, Jean-Pierre, 2017. "Identifiability issues of age–period and age–period–cohort models of the Lee–Carter type," Insurance: Mathematics and Economics, Elsevier, vol. 75(C), pages 117-125.
    9. 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.
    10. Tsai, Cary Chi-Liang & Cheng, Echo Sihan, 2021. "Incorporating statistical clustering methods into mortality models to improve forecasting performances," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 42-62.
    11. Haberman, Steven & Renshaw, Arthur, 2011. "A comparative study of parametric mortality projection models," Insurance: Mathematics and Economics, Elsevier, vol. 48(1), pages 35-55, January.
    12. Lin, Tzuling & Wang, Chou-Wen & Tsai, Cary Chi-Liang, 2015. "Age-specific copula-AR-GARCH mortality models," Insurance: Mathematics and Economics, Elsevier, vol. 61(C), pages 110-124.
    13. Chou-Wen Wang & Hong-Chih Huang & I-Chien Liu, 2013. "Mortality Modeling With Non-Gaussian Innovations and Applications to the Valuation of Longevity Swaps," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 80(3), pages 775-798, September.
    14. Jose Garrido & Xavier Milhaud & Anani Olympio & Max Popp, 2024. "Climate Risk and its Impact on Insurance [Risque climatique et impact en assurance]," Post-Print hal-04684634, HAL.
    15. Plat, Richard, 2009. "Stochastic portfolio specific mortality and the quantification of mortality basis risk," Insurance: Mathematics and Economics, Elsevier, vol. 45(1), pages 123-132, August.
    16. Shen, Ke & Zeng, Yi, 2014. "Direct and indirect effects of childhood conditions on survival and health among male and female elderly in China," Social Science & Medicine, Elsevier, vol. 119(C), pages 207-214.
    17. repec:hum:wpaper:sfb649dp2009-015 is not listed on IDEAS
    18. Quaranta, Luciana, 2014. "Early life effects across the life course: The impact of individually defined exogenous measures of disease exposure on mortality by sex in 19th- and 20th-century Southern Sweden," Social Science & Medicine, Elsevier, vol. 119(C), pages 266-273.
    19. Marco-Gracia, Francisco J. & Puche, Javier, 2021. "The association between male height and lifespan in rural Spain, birth cohorts 1835-1939," Economics & Human Biology, Elsevier, vol. 43(C).
    20. D’Amato, Valeria & Haberman, Steven & Piscopo, Gabriella & Russolillo, Maria, 2012. "Modelling dependent data for longevity projections," Insurance: Mathematics and Economics, Elsevier, vol. 51(3), pages 694-701.
    21. Katrien Antonio & Anastasios Bardoutsos & Wilbert Ouburg, 2015. "Bayesian Poisson log-bilinear models for mortality projections with multiple populations," BAFFI CAREFIN Working Papers 1505, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.

    More about this item

    Keywords

    Mortality forecasting; Cohort; fitting; Algeria; life annuities;
    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

    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:pra:mprapa:92173. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.