Ersatzraten in der Gesetzlichen Rentenversicherung / Replacement Rates in the German Statutory Pension System
Kluth Sebastian () and
Gasche Martin ()
Additional contact information
Kluth Sebastian: Max Planck Institute for Social Law and Social Policy, Munich Center for the Economics of Aging, Amalienstr. 33, 80799 München, Germany
Gasche Martin: Munich Center for the Economics of Aging (MEA), Max-Planck-Institut, München, Germany
Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), 2015, vol. 235, issue 6, 553-583
Abstract:
This paper aims to find an adequate concept to evaluate the replacement rate of the latest retiree generation of 2010. Classic replacement rates fail to provide meaningful conclusions because they can only be calculated for around half the retirees. This paper proposes an alternative figure, the so-called life cycle replacement rate, which relates individuals’ pension payments to the average real income over their whole working history. In sum, work history related characteristics like marital status, income or retirement age strongly influence individuals’ replacement rates. Furthermore, women’s replacement rates particularly benefit from non-contribution based pension entitlements, e.g. for periods of child-raising.
Keywords: Replacement rates; public pension; old age; pay as you go (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
https://doi.org/10.1515/jbnst-2015-0604 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:jns:jbstat:v:235:y:2015:i:6:p:553-583
DOI: 10.1515/jbnst-2015-0604
Access Statistics for this article
Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik) is currently edited by Peter Winker
More articles in Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik) from De Gruyter
Bibliographic data for series maintained by Peter Golla ().