EconPapers    
Economics at your fingertips  
 

A New Data Set Measuring Income Inequality

Klaus Deininger and Lyn Squire

No 512, CEMA Working Papers from China Economics and Management Academy, Central University of Finance and Economics

Abstract: This article presents a new data set on inequality in the distribution of income. The authors explain the criteria they applied in selecting data on Gini coefficients and on individual quintile groups' income shares. Comparison of the new data set with existing compilations reveals that the data assembled here represent an improvement in quality and a significant expansion in coverage, although differences in the definition of the underlying data might still affect intertemporal and international comparability. Based on this new data set, the authors do not find a systematic link between growth and changes in aggregate inequality. They do find a strong positive relationship between growth and reduction of poverty.

Pages: 28 pages
Date: 1996
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1104)

Published in World Bank Economic Review Volume10, Issue3, Page 565-591.

Downloads: (external link)
http://down.aefweb.net/WorkingPapers/w512.pdf (application/pdf)

Related works:
Journal Article: A New Data Set Measuring Income Inequality (1996)
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:cuf:wpaper:512

Access Statistics for this paper

More papers in CEMA Working Papers from China Economics and Management Academy, Central University of Finance and Economics Contact information at EDIRC.
Bibliographic data for series maintained by Qiang Gao ().

 
Page updated 2025-03-30
Handle: RePEc:cuf:wpaper:512