Old age or dependence. Which social insurance?

Yukihiro Nishimura and Pierre Pestieau

No 2020030, LIDAM Discussion Papers CORE from Université catholique de Louvain, Center for Operations Research and Econometrics (CORE)

Abstract: We consider a society where individuals differ according to their pro- ductivity and their risk of mortality and dependency. We show that ac- cording to the most reasonable estimates of correlations among these three characteristics, if one had to choose between a public pension system and a long-term care social insurance, the latter should be chosen by a utili- tarian social planner. With a Rawlsian planner, the balance between the two schemes does depend on the comparison between the ratio of the sur- vival probability to the dependence risk of the poor with its population average.

Keywords: long term care; pension; mortality risk; optimal taxation; liquidity constraints (search for similar items in EconPapers)
JEL-codes: H2 H5 (search for similar items in EconPapers)
Pages: 14
Date: 2020-10-06
New Economics Papers: this item is included in nep-age, nep-dem, nep-ias and nep-rmg
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://sites.uclouvain.be/core/publications/coredp/coredp2020.html (application/pdf)

Related works:
Journal Article: Old age or dependence: Which social insurance? (2022)
Working Paper: Old age or dependence. Which social insurance? (2022)
Working Paper: Old age or dependence. Which social insurance? (2019)
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:cor:louvco:2020030

Access Statistics for this paper

More papers in LIDAM Discussion Papers CORE from Université catholique de Louvain, Center for Operations Research and Econometrics (CORE) Voie du Roman Pays 34, 1348 Louvain-la-Neuve (Belgium). Contact information at EDIRC.
Bibliographic data for series maintained by Alain GILLIS ().