Pension Design and Risk Sharing: Mixed Solutions Between Defined Benefit and Defined Contribution for Public Pension Schemes
Pierre Devolder () and
Sébastien Valeriola ()
Additional contact information
Pierre Devolder: Université Catholique de Louvain
Sébastien Valeriola: Laboratoire Quaresmi
Chapter Chapter 14 in Economic Challenges of Pension Systems, 2020, pp 311-339 from Springer
Abstract:
Abstract In classical pension design, there are essentially two kinds of pension schemes: Defined Benefit (DB) and Defined Contribution (DC) plans. Each scheme corresponds to a different philosophy of spreading risk between the stakeholders: in a DB, the main risks are taken by the organizer of the plan, while in a DC, the affiliates must bear all the risks. Especially when applied to social security pension systems, this traditional view can in both cases lead to unfair intergenerational equilibrium. The purpose of this chapter is to present alternative architectures based on a mix between DB and DC in order to achieve both financial sustainability and social adequacy. An example of this approach is the so-called Musgrave rule, but other risk-sharing approaches will be developed in a pay-as-you-go philosophy. These principles will be illustrated by the Belgian proposition of reform of the first pillar, based on a points system with a simultaneous automatic adaptation mechanism of the retirement age, the contribution rate, the replacement rate, and the indexation rate.
Keywords: Public pension schemes; Hybrid pension scheme; Belgian public pensions; Social adequacy; Risk sharing; Pay-as-you-go (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:spr:sprchp:978-3-030-37912-4_14
Ordering information: This item can be ordered from
http://www.springer.com/9783030379124
DOI: 10.1007/978-3-030-37912-4_14
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().