The Luxembourg Income Study

Ravallion, Martin

The Luxembourg Income Study

The Journal of Economic Inequality, 2015, vol. 13, issue 4, 527-547

Abstract: The Luxembourg Income Study (now known as LIS) provides public access for research purposes to harmonized unit-record data sets for multiple countries, in addition to providing summary statistics from those data, including poverty and inequality measures. LIS is a well-managed and undeniably important global public institution for research on inequality and social policy in rich countries. However, LIS’s eligibility criteria, country coverage, timeliness and some of its measurement practices limit its usefulness for many other purposes. The paper identifies a number of issues that would need to be addressed by a truly global micro-data base for studying poverty and inequality. Copyright Springer Science+Business Media New York 2015

Keywords: Income; Poverty; Inequality; Household surveys; Data access (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (26)

Downloads: (external link)
http://hdl.handle.net/10.1007/s10888-015-9298-y (text/html)
Access to full text is restricted to subscribers.

Related works:
Working Paper: The Luxembourg Income Study (2014)
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:jecinq:v:13:y:2015:i:4:p:527-547

Ordering information: This journal article can be ordered from
http://www.springer. ... th/journal/10888/PS2

DOI: 10.1007/s10888-015-9298-y

Access Statistics for this article

The Journal of Economic Inequality is currently edited by Stephen Jenkins

More articles in The Journal of Economic Inequality from Springer, Society for the Study of Economic Inequality Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().