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Expanding an abridged life table

Author

Listed:
  • Anastasia Kostaki

    (Athens University of Economics and Business)

  • Vagelis Panousis

    (Athens University of Economics and Business)

Abstract

A question of interest in the demographic and actuarial fields is the estimation of the age-specific mortality pattern when data are given in age groups. Data can be provided in such a form usually because of systematic fluctuations caused by age heaping. This is a phenomenon usual to vital registrations related to age misstatements, usually preferences of ages ending in multiples five. Several techniques for expanding an abridged life table to a complete one are proposed in the literature. Although many of these techniques are considered accurate and are more or less extensively used, they have never been simultaneously evaluated. This work provides a critical presentation, an evaluation and a comparison of the performance of these techniques. For that purpose, we consider empirical data sets for several populations with reliable analytical documentation. Departing from the complete sets of qx-values, we form the abridged ones. Then we apply each one of the expanding techniques considered to these abridged data sets and finally we compare the results with the corresponding complete empirical values.

Suggested Citation

  • Anastasia Kostaki & Vagelis Panousis, 2001. "Expanding an abridged life table," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 5(1), pages 1-22.
  • Handle: RePEc:dem:demres:v:5:y:2001:i:1
    DOI: 10.4054/DemRes.2001.5.1
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    References listed on IDEAS

    as
    1. Peter Congdon, 1993. "Statistical Graduation in Local Demographic Analysis and Projection," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 156(2), pages 237-270, March.
    2. Anastasia Kostaki & Jan Lanke, 2000. "Degrouping mortality data for the elderly," Mathematical Population Studies, Taylor & Francis Journals, vol. 7(4), pages 331-341.
    3. Anastasia Kostaki, 2000. "A relational technique for estimating the age-specific mortality pattern from grouped data," Mathematical Population Studies, Taylor & Francis Journals, vol. 9(1), pages 83-95.
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    Cited by:

    1. William Lim & Gaurav Khemka & David Pitt & Bridget Browne, 2019. "A method for calculating the implied no-recovery three-state transition matrix using observable population mortality incidence and disability prevalence rates among the elderly," Journal of Population Research, Springer, vol. 36(3), pages 245-282, September.
    2. Soumya Pal & Abhishek Singh & Kaushalendra Kumar, 2022. "Inequality in length of life in India: an empirical analysis," Journal of Population Research, Springer, vol. 39(3), pages 315-340, September.
    3. P. Baili & A. Micheli & A. Montanari & R. Capocaccia, 2005. "Comparison of Four Methods for Estimating Complete Life Tables from Abridged Life Tables Using Mortality Data Supplied to EUROCARE-3," Mathematical Population Studies, Taylor & Francis Journals, vol. 12(4), pages 183-198.
    4. Pal, Soumya, 2022. "Length of Life Inequality in India: An Empirical Analysis," SocArXiv 3kwtq, Center for Open Science.
    5. Juliana Jaramillo-Echeverri, 2023. "La transición de la fecundidad en Colombia: nueva evidencia regional," Cuadernos de Historia Económica 60, Banco de la Republica de Colombia.

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    More about this item

    Keywords

    life tables; age-specific mortality patterns; abridged life table; complete life table; expanding method; interpolation; parametric models; probability of dying; splines;
    All these keywords.

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

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