IDEAS home Printed from https://ideas.repec.org/a/cup/astinb/v51y2021i1p191-219_7.html
   My bibliography  Save this article

Why Does A Human Die? A Structural Approach To Cohort-Wise Mortality Prediction Under Survival Energy Hypothesis

Author

Listed:
  • Shimizu, Yasutaka
  • Minami, Yuki
  • Ito, Ryunosuke

Abstract

We propose a new approach to mortality prediction under survival energy hypothesis (SEH). We assume that a human is born with initial energy, which changes stochastically in time and the human dies when the energy vanishes. Then, the time of death is represented by the first hitting time of the survival energy (SE) process to zero. This study assumes that SE follows a time-inhomogeneous diffusion process and defines the mortality function, which is the first hitting time distribution function of the SE process. Although SEH is a fictitious construct, we illustrate that this assumption has the potential to yield a good parametric family of cumulative probability of death, and the parametric family yields surprisingly good predictions for future mortality rates.

Suggested Citation

  • Shimizu, Yasutaka & Minami, Yuki & Ito, Ryunosuke, 2021. "Why Does A Human Die? A Structural Approach To Cohort-Wise Mortality Prediction Under Survival Energy Hypothesis," ASTIN Bulletin, Cambridge University Press, vol. 51(1), pages 191-219, January.
  • Handle: RePEc:cup:astinb:v:51:y:2021:i:1:p:191-219_7
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S051503612000032X/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    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:cup:astinb:v:51:y:2021:i:1:p:191-219_7. 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: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/asb .

    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.