EconPapers    
Economics at your fingertips  
 

A simple way to calculate the Gini Coefficient for grouped as well as ungrouped data

Esmaiel Abounoori and Pat McCloughan ()

Applied Economics Letters, 2003, vol. 10, issue 8, 505-509

Abstract: Numerous methods have been proposed for calculating the Gini coefficient, the most widely used statistical measure of income inequality. The Milanovic (Bulletin of Economic Research, 46, 81-90, 1994) measure is simple, accurate and has attractive decomposition properties. However its use is confined to ungrouped data. This paper derives and applies the analogue of the Milanovic 94 measure for the case of grouped data. Both the grouped and ungrouped formulae offer a useful toolkit for inequality measurement.

Date: 2003
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (19)

Downloads: (external link)
http://www.informaworld.com/openurl?genre=article& ... 40C6AD35DC6213A474B5 (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:taf:apeclt:v:10:y:2003:i:8:p:505-509

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEL20

DOI: 10.1080/1350485032000100279

Access Statistics for this article

Applied Economics Letters is currently edited by Anita Phillips

More articles in Applied Economics Letters from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:apeclt:v:10:y:2003:i:8:p:505-509