Nothing Special   »   [go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/y9ke4.html
   My bibliography  Save this paper

Non-survival to pension age in Denmark and Sweden: a sub-national investigation

Author

Listed:
  • Kashnitsky, Ilya

    (University of Southern Denmark)

Abstract
Mortality keeps improving even in the most developed countries. Deaths before senior age become more and more occasional and thus are increasingly considered unnecessary and perhaps even avoidable. Denmark belongs to the most developed countries of the world in terms of progress in lowering human mortality levels. Yet there is still much room for large improvements – compared to Sweden, Danish population has almost the same survival profile up to age 50 but then there are striking differences in later ages. Between ages 50 and 65 about 10% of Danish males die while in Sweden this proportion is only about 7%. This paper explores the regularities of non-survival to pension age across Danish municipalities and compares them to ones in Sweden. The main focus of this exploration is identification of the spatial patterns based on the mortality characteristics of the population that are studied using the advanced spatial clustering algorithm that utilizes tree edge removal technique. The methodological challenge resolved along the way is the construction of reliable life table estimates for the small municipal populations. The results suggest that the main reason for the observed gap between Danish and Swedish municipalities, especially for males, is the lagging behind development of the most deprived areas, which corresponds with the results on widening gaps along socioeconomic dimensions.

Suggested Citation

  • Kashnitsky, Ilya, 2023. "Non-survival to pension age in Denmark and Sweden: a sub-national investigation," OSF Preprints y9ke4, Center for Open Science.
  • Handle: RePEc:osf:osfxxx:y9ke4
    DOI: 10.31219/osf.io/y9ke4
    as

    Download full text from publisher

    File URL: https://osf.io/download/63f4af10be2af702fa92204c/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/y9ke4?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. Joop de Beer, 2012. "Smoothing and projecting age-specific probabilities of death by TOPALS," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 27(20), pages 543-592.
    2. Patrick Heuveline, 2023. "Interpreting changes in life expectancy during temporary mortality shocks," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 48(1), pages 1-18.
    Full references (including those not matched with items on IDEAS)

    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. Tom Wilson & Irina Grossman & Monica Alexander & Phil Rees & Jeromey Temple, 2022. "Methods for Small Area Population Forecasts: State-of-the-Art and Research Needs," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(3), pages 865-898, June.
    2. Sigurd Dyrting & Abraham Flaxman & Ethan Sharygin, 2022. "Reconstruction of age distributions from differentially private census data," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(6), pages 2311-2329, December.
    3. Bernard Baffour & James Raymer, 2019. "Estimating multiregional survivorship probabilities for sparse data: An application to immigrant populations in Australia, 1981–2011," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 40(18), pages 463-502.
    4. Carl P. Schmertmann & Marcos R. Gonzaga, 2018. "Bayesian Estimation of Age-Specific Mortality and Life Expectancy for Small Areas With Defective Vital Records," Demography, Springer;Population Association of America (PAA), vol. 55(4), pages 1363-1388, August.
    5. Carl Schmertmann, 2021. "D-splines: Estimating rate schedules using high-dimensional splines with empirical demographic penalties," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 44(45), pages 1085-1114.
    6. Sigurd Dyrting, 2020. "Smoothing migration intensities with P-TOPALS," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 43(55), pages 1607-1650.
    7. Keilman, Nico, 2016. "Household forecasting: Preservation of age patterns," International Journal of Forecasting, Elsevier, vol. 32(3), pages 726-735.
    8. Qian Lu & Katja Hanewald & Xiaojun Wang, 2021. "Subnational Mortality Modelling: A Bayesian Hierarchical Model with Common Factors," Risks, MDPI, vol. 9(11), pages 1-21, November.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:osf:osfxxx:y9ke4. 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: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    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.