IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-89824-7_42.html
   My bibliography  Save this book chapter

Risk and Uncertainty for Flexible Retirement Schemes

In: Mathematical and Statistical Methods for Actuarial Sciences and Finance

Author

Listed:
  • Mariarosaria Coppola

    (Federico II University, Department of Political Sciences)

  • Maria Russolillo

    (University of Salerno, Department of Economics and Statistics)

  • Rosaria Simone

    (Federico II University, Department of Political Sciences)

Abstract

Nowadays, we are witnessing a wide and spread need to create flexible retirement schemes for facing global ageing and the prolonging working lives. Many countries have set up Social Security Systems, which link retirement age and/or pension benefits to life expectancy. In this context, we consider an indexing mechanism based on the expected residual life expectancy to adjust the retirement age and keep a constant Expected Pension Period Duration (EPPD). The analysis assesses the impact of different stochastic mortality models on the indexation by forecasting mortality paths based on extrapolative methods. Nevertheless, so far, in recent literature less attention has been given to the uncertainty issue related to model selection, although having appropriate estimates for the risk in mortality projections. With respect to the state of art, our proposal considers model-assembling techniques in order to balance fitting performances and uncertainty related to model selection, as well as uncertainty of parameters estimation. The indexation mechanism obtained by joining the retirement age up with the expected life span is tested in actuarial terms by assessing the implied reduction of costs also when assuming worst and best scenarios. The analysis concerns the Italian population and outlines gender differences.

Suggested Citation

  • Mariarosaria Coppola & Maria Russolillo & Rosaria Simone, 2018. "Risk and Uncertainty for Flexible Retirement Schemes," Springer Books, in: Marco Corazza & María Durbán & Aurea Grané & Cira Perna & Marilena Sibillo (ed.), Mathematical and Statistical Methods for Actuarial Sciences and Finance, pages 231-235, Springer.
  • Handle: RePEc:spr:sprchp:978-3-319-89824-7_42
    DOI: 10.1007/978-3-319-89824-7_42
    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_42. 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.