IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-89824-7_87.html
   My bibliography  Save this book chapter

A Minimum Pension for Older People via Expenses Rate

In: Mathematical and Statistical Methods for Actuarial Sciences and Finance

Author

Listed:
  • Noemí Peña-Miguel

    (University of the Basque Country (UPV/EHU)
    Polibienestar Research Institute
    Consolidated Research Group EJ/GV: IT 897-16
    Faculty of Economics and Business)

  • María Cristina Fernández-Ramos

    (School of Education, Junta de Castilla y León)

  • Joseba Iñaki De La Peña

    (University of the Basque Country (UPV/EHU)
    Polibienestar Research Institute
    Consolidated Research Group EJ/GV: IT 897-16
    Faculty of Economics and Business)

Abstract

For 2050, 21.8% of the world population will overcome 60 years, 16% the 65 years old and 4.4% 80 years, due partly, to the reduction of the rates of fecundity and mortality. This fact will provoke problems in the costs of public and private systems of long term care coverage. As the elderly population increases, the expenses increase as well in health and geriatrics services. These ones imply costly technologies and sectorial inflation and is another reason to provoke problems in the cost of public and private systems of long term care coverage. To face them, the pensioners have principally their own pensions and savings. This paper proposes to develop the methodology to determine minimal pensions under the presumption of supporting the expense in vital consumption and to adapt it to the situation of severe or great dependent. A review of the literature is carried out to present the methodology used as well as the results of the application for Spain.

Suggested Citation

  • Noemí Peña-Miguel & María Cristina Fernández-Ramos & Joseba Iñaki De La Peña, 2018. "A Minimum Pension for Older People via Expenses Rate," Springer Books, in: Marco Corazza & María Durbán & Aurea Grané & Cira Perna & Marilena Sibillo (ed.), Mathematical and Statistical Methods for Actuarial Sciences and Finance, pages 489-493, Springer.
  • Handle: RePEc:spr:sprchp:978-3-319-89824-7_87
    DOI: 10.1007/978-3-319-89824-7_87
    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
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;

    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:spr:sprchp:978-3-319-89824-7_87. 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.