IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-74162-4_5.html
   My bibliography  Save this book chapter

Demographics as Determinants of Social Security

In: Debt in Times of Crisis

Author

Listed:
  • James Ming Chen

    (Michigan State University)

  • Thomas Poufinas

    (Democritus University of Thrace)

  • Charalampos Agiropoulos

    (University of Piraeus)

  • George Galanos

    (University of Piraeus)

Abstract

Population demographics have been long debated as factors that influence the capacity of countries to manage their debt levels. Drops in fertility and replacement rate can endanger the viability of a country’s social security system. Reproductive declines pose a particular threat to pension plans. In some cases, declines in population can increase the burden borne by the state. Employing a series of econometric models and machine learning techniques, we find evidence that population, age dependency ratio, fertility rate, migration and unemployment determine the level of social security benefits. These relationships depend on the model and the proxy used to measure the level of social security or pension benefits. Machine learning models tend to assign more weight to governmental policies. All else being equal, machine learning models find, that countries offering generous health and social benefits also fund pensions generously, and vice versa.

Suggested Citation

  • James Ming Chen & Thomas Poufinas & Charalampos Agiropoulos & George Galanos, 2021. "Demographics as Determinants of Social Security," Springer Books, in: Thomas Poufinas (ed.), Debt in Times of Crisis, chapter 0, pages 133-189, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-74162-4_5
    DOI: 10.1007/978-3-030-74162-4_5
    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.

    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:spr:sprchp:978-3-030-74162-4_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.

    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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.