IDEAS home Printed from https://ideas.repec.org/a/dem/demres/v50y2024i44.html
   My bibliography  Save this article

The Average Uneven Mortality index: Building on the ‘e-dagger’ measure of lifespan inequality

Author

Listed:
  • Marco Bonetti

    (Università Bocconi)

  • Ugofilippo Basellini

    (Max-Planck-Institut für Demografische Forschung)

  • Andrea Nigri

    (Università degli studi di Foggia)

Abstract

Background: In recent years, lifespan inequality has become an important indicator of population health. Uncovering the statistical properties of lifespan inequality measures can provide novel insights on the study of mortality. Methods: We introduce the ‘Average Uneven Mortality’ (AUM) index, a novel mortality indicator for the study of mortality patterns and lifespan inequality. We prove some new properties of interest, as well as relationships with the ‘e-dagger’ and entropy measures of lifespan inequality. Results: The use of the AUM index is illustrated through an application to observed period and cohort death rates from the Human Mortality Database. We explore the behavior of the index across age and over time, and we study its relationship with life expectancy. The AUM index at birth declined over time until the 1950s, when it reverted its trend; also, the index generally increases with age. Contribution: The AUM index is a normalized version of Vaupel and Canudas-Romo’s e-dagger measure that can be meaningfully compared across countries and over time. Additionally, we derive an upper bound for both e-dagger and the life-table entropy measures, which are novel formal results. Finally, we develop novel routines to compute e-dagger and the standard deviation of lifetimes from death rates, which are often more precise than available software, particularly for calculations involving older ages.

Suggested Citation

  • Marco Bonetti & Ugofilippo Basellini & Andrea Nigri, 2024. "The Average Uneven Mortality index: Building on the ‘e-dagger’ measure of lifespan inequality," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 50(44), pages 1281-1300.
  • Handle: RePEc:dem:demres:v:50:y:2024:i:44
    DOI: 10.4054/DemRes.2024.50.44
    as

    Download full text from publisher

    File URL: https://www.demographic-research.org/volumes/vol50/44/50-44.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.4054/DemRes.2024.50.44?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    formal demography; lifespan inequality; mortality plateau; mortality age-pattern; exponential distribution;
    All these keywords.

    JEL classification:

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

    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:dem:demres:v:50:y:2024:i:44. 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: Editorial Office (email available below). General contact details of provider: https://www.demogr.mpg.de/ .

    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.