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Perturbation analysis of indices of lifespan variability

Author

Listed:
  • Alyson A. van Raalte

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Hal Caswell

    (Max Planck Institute for Demographic Research, Rostock, Germany)

Abstract

A number of indices have been used in recent years to calculate lifespan variation, each with different underlying properties. Although these indices are assumed to be interchangeable, little research has been conducted to show under which conditions this assumption is appropriate, or how to compare their responses to the underlying mortality schedule. We compare seven indices of lifespan variation: life disparity, the Gini coefficient, the standard deviation, the variance, Theil's index, the mean logarithmic deviation, and the inter-quartile range. We derive the sensitivity and elasticity of each index by applying Markov chain theory and matrix calculus. Using empirical French and Russian male data we compare the underlying sensitivities to mortality change under different mortality regimes in order to test under which conditions the indices might differ in their conclusions about the magnitude of lifespan variation. Finally we demonstrate how integrating these sensitivities can be used as a method of age decomposition. The result is an easily computable method for calculating the properties of this important class of longevity indices.

Suggested Citation

  • Alyson A. van Raalte & Hal Caswell, 2012. "Perturbation analysis of indices of lifespan variability," MPIDR Working Papers WP-2012-004, Max Planck Institute for Demographic Research, Rostock, Germany.
    • Handle: RePEc:dem:wpaper:wp-2012-004
    DOI: 10.4054/MPIDR-WP-2012-004
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    References listed on IDEAS

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    More about this item

    Keywords

    inequality; mathematical demography; mortality measurement;
    All these keywords.

    JEL classification:

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

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