Social Security reform: three Rawlsian options
Erin Cottle Hunt and
Frank Caliendo
International Tax and Public Finance, 2020, vol. 27, issue 6, No 8, 1582-1607
Abstract:
Abstract To maintain long-run solvency in light of changing demographics, the US Social Security system needs to be reformed. We present three reform options that protect the retirement benefits of the economically vulnerable while also balancing the Social Security budget. We refer to these three options as Rawlsian reforms because, with each reform option, the Social Security benefits of those at the low end of the income distribution are left intact. Two of our reforms break the link between the benefit cap and the tax cap by lowering the benefit cap. We explore the effect of each reform on ex-ante expected utility, the distribution of private savings, and the distribution of lifetime income in a life-cycle model.
Keywords: Social Security reform; Inequality; Rawlsian welfare (search for similar items in EconPapers)
JEL-codes: E6 H3 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://link.springer.com/10.1007/s10797-020-09607-4 Abstract (text/html)
Access to full text is restricted to subscribers.
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:kap:itaxpf:v:27:y:2020:i:6:d:10.1007_s10797-020-09607-4
Ordering information: This journal article can be ordered from
http://www.springer. ... ce/journal/10797/PS2
DOI: 10.1007/s10797-020-09607-4
Access Statistics for this article
International Tax and Public Finance is currently edited by Ronald B. Davies and Kimberly Scharf
More articles in International Tax and Public Finance from Springer, International Institute of Public Finance Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().