Market and disposable top income shares adjusted by national accounts data
Thomas Goda and
Santiago Sanchez
No PKWP1711, Working Papers from Post Keynesian Economics Society (PKES)
Abstract:
This paper uses national accounts data to adjust market and disposable Top 10% and Top 1% household survey income shares for 39 developed and developing countries that are part of the Luxembourg Income Study (LIS). An additional novelty of this study is the distinction between labor and capital income. The obtained results suggest that for most countries top income shares are significantly higher than those reported in household surveys, which mainly underestimate top capital income. While the presented results should be treated with some caution, our easy-to-implement approach seems suitable for countries for which no tax data is available.
Keywords: top income shares; personal income inequality; income distribution; LIS household surveys; system of national accounts (SNA) (search for similar items in EconPapers)
JEL-codes: D31 E25 (search for similar items in EconPapers)
Pages: 20
Date: 2017-08
New Economics Papers: this item is included in nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
https://www.postkeynesian.net/downloads/working-papers/PKWP1711.pdf First version, 2017 (application/pdf)
Related works:
Journal Article: Market and Disposable Top Income Shares adjusted by National Accounts Data (2018)
Working Paper: Market and disposable top income shares adjusted by national accounts data (2017)
Working Paper: Market and disposable top income shares adjusted by national accounts data (2017)
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:pke:wpaper:pkwp1711
Access Statistics for this paper
More papers in Working Papers from Post Keynesian Economics Society (PKES) Contact information at EDIRC.
Bibliographic data for series maintained by Jo Michell ().