conindex: Estimation of concentration indices
Owen O’Donnell,
Stephen O’Neill (),
Tom Van Ourti and
Brendan Walsh
Additional contact information
Owen O’Donnell: Erasmus University Rotterdam
Stephen O’Neill: London School of Hygiene and Tropical Medicine
Authors registered in the RePEc Author Service: Owen O'Donnell and
Stephen O'Neill
Stata Journal, 2016, vol. 16, issue 1, 112-138
Abstract:
Concentration indices are frequently used to measure inequality in one variable over the distribution of another. Most commonly, they are applied to the measurement of socioeconomic-related inequality in health. We introduce the user-written command conindex, which provides point estimates and standard errors of a range of concentration indices. The command also graphs concentration curves (and Lorenz curves) and performs statistical inference for the comparison of inequality between groups. We offer an accessible introduction to the various concentration indices that have been proposed to suit different measurement scales and ethical responses to inequality. We also demonstrate the command’s capabil- ities and syntax by analyzing wealth-related inequality in health and health care in Cambodia. Copyright 2016 by StataCorp LP.
Keywords: conindex; inequality; rank-dependent indices; concentration index; health; health care (search for similar items in EconPapers)
Date: 2016
Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj16-1/st0427/
References: Add references at CitEc
Citations: View citations in EconPapers (57)
Downloads: (external link)
http://www.stata-journal.com/article.html?article=st0427 link to article purchase
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:tsj:stataj:v:16:y:2016:i:1:p:112-138
Ordering information: This journal article can be ordered from
http://www.stata-journal.com/subscription.html
Access Statistics for this article
Stata Journal is currently edited by Nicholas J. Cox and Stephen P. Jenkins
More articles in Stata Journal from StataCorp LLC
Bibliographic data for series maintained by Christopher F. Baum () and Lisa Gilmore ().