Adjusting for age effects in cross-sectional distributions

Ingvild Almås, Tarjei Havnes and Magne Mogstad

Stata Journal, 2012, vol. 12, issue 3, 393-405

Abstract: Income and wealth differ over the life cycle. In cross-sectional distributions of income or wealth, classical inequality measures such as the Gini could therefore find substantial inequality even if everyone has the same lifetime income or wealth. We describe the adjusted Gini index (Almas and Mogstad, 2012, Scandinavian Journal of Economics 114: 24–54), which is a generalization of the classical Gini index with attractive properties, and we describe the adgini command, which provides the adjusted Gini index and the classical Gini index. The adgini command also provides options to produce other well-known age-adjusted inequality measures, such as the Paglin-Gini (Paglin, 1975, American Economic Review 65: 598–609) and the Wertz-Gini (Wertz, 1979, American Economic Review 69: 670–672), and provides efficient estimation of the classical Gini coefficient. Copyright 2012 by StataCorp LP.

Keywords: adgini; inequality; life cycle; age adjustments; Gini coefficient (search for similar items in EconPapers)
Date: 2012
Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj12-3/st0266/
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.stata-journal.com/article.html?article=st0266 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:12:y:2012:i:3:p:393-405

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 ().