IDEAS home Printed from https://ideas.repec.org/a/bot/rivsta/v71y2011i1p51-69.html
   My bibliography  Save this article

Period and color effects on elderly mortality: a new relational model for smoothing mortality surface

Author

Listed:
  • Elisabetta Barbi

    (Sapienza University of Rome - Italy)

  • Carlo G. Gamba

    (Max Planck Institute for Demographic Research)

Abstract

This study investigates the relative importance of period and cohort effects in adult and elderly mortality in Italy and Sweden in second half of the 20th century. For this purpose, we devised a two-dimensional semi-parametric model for mortality surfaces that produces good fit to the data and robust estimates of the period and cohort parameters. The findings of this study shows that period effects have been of primary importance in the process of mortality reduction at adult and old ages observed in the last decades. The effects of early-life conditions are modest and often not statistically significant.

Suggested Citation

  • Elisabetta Barbi & Carlo G. Gamba, 2011. "Period and color effects on elderly mortality: a new relational model for smoothing mortality surface," Statistica, Department of Statistics, University of Bologna, vol. 71(1), pages 51-69.
    • Handle: RePEc:bot:rivsta:v:71:y:2011:i:1:p:51-69
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Enrique Acosta & Alain Gagnon & Nadine Ouellette & Robert R. Bourbeau & Marilia R. Nepomuceno & Alyson A. van Raalte, 2020. "The boomer penalty: excess mortality among baby boomers in Canada and the United States," MPIDR Working Papers WP-2020-003, Max Planck Institute for Demographic Research, Rostock, Germany.
    2. Andrea Nigri & Elisabetta Barbi & Susanna Levantesi, 2022. "The relationship between longevity and lifespan variation," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(3), pages 481-493, September.
    3. Nadine Ouellette & Magali Barbieri & John R. Wilmoth, 2014. "Period-Based Mortality Change: Turning Points in Trends since 1950," Population and Development Review, The Population Council, Inc., vol. 40(1), pages 77-106, March.

    More about this item

    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:bot:rivsta:v:71:y:2011:i:1:p:51-69. 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: Giovanna Galatà (email available below). General contact details of provider: https://edirc.repec.org/data/dsbolit.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.