IDEAS home Printed from https://ideas.repec.org/a/dem/demres/v13y2005i5.html
   My bibliography  Save this article

Changing mortality and average cohort life expectancy

Author

Listed:
  • Robert Schoen

    (Pennsylvania State University)

  • Vladimir Canudas-Romo

    (Australian National University)

Abstract

Period life expectancy varies with changes in mortality, and should not be confused with the life expectancy of those alive during that period. Given past and likely future mortality changes, a recent debate has arisen on the usefulness of the period life expectancy as the leading measure of survivorship. An alternative aggregate measure of period mortality which has been seen as less sensitive to period changes, the cross-sectional average length of life (CAL) has been proposed as an alternative, but has received only limited empirical or analytical examination. Here, we introduce a new measure, the average cohort life expectancy (ACLE), to provide a precise measure of the average length of life of cohorts alive at a given time. To compare the performance of ACLE with CAL and with period and cohort life expectancy, we first use population models with changing mortality. Then the four aggregate measures of mortality are calculated for England and Wales, Norway, and Switzerland for the years 1880 to 2000. CAL is found to be sensitive to past and present changes in death rates. ACLE requires the most data, but gives the best representation of the survivorship of cohorts present at a given time.

Suggested Citation

  • Robert Schoen & Vladimir Canudas-Romo, 2005. "Changing mortality and average cohort life expectancy," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 13(5), pages 117-142.
  • Handle: RePEc:dem:demres:v:13:y:2005:i:5
    DOI: 10.4054/DemRes.2005.13.5
    as

    Download full text from publisher

    File URL: https://www.demographic-research.org/volumes/vol13/5/13-5.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.4054/DemRes.2005.13.5?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
    ---><---

    References listed on IDEAS

    as
    1. James W. Vaupel & Vladimir Canudas-Romo, 2002. "Decomposing demographic change into direct vs. compositional components," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 7(1), pages 1-14.
    2. John Bongaarts & Griffith Feeney, 2002. "How Long Do We Live?," Population and Development Review, The Population Council, Inc., vol. 28(1), pages 13-29, March.
    3. James W. Vaupel, 2002. "Life Expectancy at Current Rates vs. Current Conditions," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 7(8), pages 365-378.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Michel Guillot, 2006. "Tempo effects in mortality," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 14(1), pages 1-26.
    2. Vladimir Canudas-Romo, 2008. "The modal age at death and the shifting mortality hypothesis," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 19(30), pages 1179-1204.

    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. Aymric Kamega & Frédéric Planchet, 2011. "Hétérogénéité : mesure du risque d'estimation dans le cas d'une modélisation intégrant des facteurs observables," Post-Print hal-00593874, HAL.
    2. Marc Luy, 2006. "Mortality tempo-adjustment," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 15(21), pages 561-590.
    3. Marc Luy, 2005. "The importance of mortality tempo-adjustment: theoretical and empirical considerations," MPIDR Working Papers WP-2005-035, Max Planck Institute for Demographic Research, Rostock, Germany.
    4. Hisashi Inaba, 2007. "Effects of Age Shift on the Tempo and Quantum of Non-Repeatable Events," Mathematical Population Studies, Taylor & Francis Journals, vol. 14(3), pages 131-168.
    5. Maxim S. Finkelstein, 2003. "Age correspondence for different mortality regimes with and without the change point," MPIDR Working Papers WP-2003-039, Max Planck Institute for Demographic Research, Rostock, Germany.
    6. Kenneth W. Wachter, 2005. "Tempo and its Tribulations," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 13(9), pages 201-222.
    7. James W. Vaupel & Trifon Missov, 2014. "Unobserved population heterogeneity," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 31(22), pages 659-686.
    8. Roland Rau & Magdalena Muszyńska-Spielauer & Paul Eilers, 2013. "Minor gradient in mortality by education at the highest ages," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(19), pages 507-520.
    9. Glenn Firebaugh & Francesco Acciai & Aggie Noah & Christopher J Prather & Claudia Nau, 2014. "Why the racial gap in life expectancy is declining in the United States," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 31(32), pages 975-1006.
    10. Quanbao Jiang & Marcus Feldman & Shuzhuo Li, 2014. "Marriage Squeeze, Never-Married Proportion, and Mean Age at First Marriage in China," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 33(2), pages 189-204, April.
    11. Marie-Pier Bergeron-Boucher & Jim Oeppen & Niels Vilstrup Holm & Hanne Melgaard Nielsen & Rune Lindahl-Jacobsen & Maarten Jan Wensink, 2019. "Understanding Differences in Cancer Survival between Populations: A New Approach and Application to Breast Cancer Survival Differentials between Danish Regions," IJERPH, MDPI, vol. 16(17), pages 1-16, August.
    12. James W. Vaupel, 2009. "Lively Questions for Demographers about Death at Older Ages," Population and Development Review, The Population Council, Inc., vol. 35(2), pages 347-356, June.
    13. Alexia Prskawetz & Barbara Zagaglia & Thomas Fent & Vegard Skirbekk, 2005. "Decomposing the change in labour force indicators over time," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 13(7), pages 163-188.
    14. Warren C. Sanderson & Sergei Scherbov, 2007. "A new perspective on population aging," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 16(2), pages 27-58.
    15. Thomas B. Foster, 2017. "Decomposing American immobility: Compositional and rate components of interstate, intrastate, and intracounty migration and mobility decline," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 37(47), pages 1515-1548.
    16. Chiara Gigliarano & Ugofilippo Basellini & Marco Bonetti, 2017. "Longevity and concentration in survival times: the log-scale-location family of failure time models," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 23(2), pages 254-274, April.
    17. Seaman, Rosie & Riffe, Tim & Leyland, Alastair H. & Popham, Frank & van Raalte, Alyson, 2019. "The increasing lifespan variation gradient by area-level deprivation: A decomposition analysis of Scotland 1981–2011," Social Science & Medicine, Elsevier, vol. 230(C), pages 147-157.
    18. Roland Rau & Gabriele Doblhammer, 2003. "Seasonal mortality in Denmark," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 9(9), pages 197-222.
    19. Shiro Horiuchi, 2005. "Tempo effect on age-specific death rates," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 13(8), pages 189-200.
    20. Shripad Tuljapurkar & Ryan Edwards, 2011. "Variance in death and its implications for modeling and forecasting mortality," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 24(21), pages 497-526.

    More about this item

    Keywords

    mortality; life expectancy; mortality tempo; period life expectancy; cohort life expectancy; cross-sectional average length of life (CAL);
    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:13:y:2005:i:5. 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: 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.