IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-031-64273-9_49.html
   My bibliography  Save this book chapter

On the Effect of Pension Expectations and Financial Literacy on Pension Planning: A Preliminary Investigation for the Italian Population

In: Mathematical and Statistical Methods for Actuarial Sciences and Finance

Author

Listed:
  • Rosaria Simone

    (University of Naples Federico II)

  • Mariarosaria Coppola

    (University of Naples Federico II)

Abstract

Pension reforms are on the agenda of several governments worldwide, especially those experiencing a serious longevity risk, like Italy, due to the combination of ageing of the population and declining fertility rates. As a result, younger generations will have to cope with late pension age and possibly lower pension incomes, and individuals may opt to subscribe private pensions to sustain their expectations, in terms of retirement age and pension benefits. Propensity to private pension planning depends heavily on financial literacy, as highlighted in the literature (see [3–5], among others). In this context, for the Italian population we propose to resort to model-based regression trees [8] to highlight individuals’ features that entail different effects of pension expectations and financial literacy on propensity to pension planning.

Suggested Citation

  • Rosaria Simone & Mariarosaria Coppola, 2024. "On the Effect of Pension Expectations and Financial Literacy on Pension Planning: A Preliminary Investigation for the Italian Population," Springer Books, in: Marco Corazza & Frédéric Gannon & Florence Legros & Claudio Pizzi & Vincent Touzé (ed.), Mathematical and Statistical Methods for Actuarial Sciences and Finance, pages 297-302, Springer.
  • Handle: RePEc:spr:sprchp:978-3-031-64273-9_49
    DOI: 10.1007/978-3-031-64273-9_49
    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:978-3-031-64273-9_49. 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.