Testing for Marginal Changes in Income Distributions with Lorenz and Concentration Curves
John A Bishop,
K Victor Chow and
John P Formby
International Economic Review, 1994, vol. 35, issue 2, 479-88
Abstract:
Asymptotically distribution free statistical tests for comparing absolute and relative Lorenz and concentration curves are provided. The procedures do not require independent samples and can be used to test for marginal changes in income distributions. The tests are illustrated using a large sample of tax returns that have been randomly selected for audit by the Internal Revenue Service. The tests reveal the marginal effects of systematic underreporting of income and tax liabilities on the U.S. income distribution. Copyright 1994 by Economics Department of the University of Pennsylvania and the Osaka University Institute of Social and Economic Research Association.
Date: 1994
References: Add references at CitEc
Citations: View citations in EconPapers (20)
Downloads: (external link)
http://links.jstor.org/sici?sici=0020-6598%2819940 ... O%3B2-L&origin=repec full text (application/pdf)
Access to full text is restricted to JSTOR subscribers. See http://www.jstor.org for details.
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:ier:iecrev:v:35:y:1994:i:2:p:479-88
Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0020-6598
Access Statistics for this article
International Economic Review is currently edited by Harold L. Cole
More articles in International Economic Review from Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association 160 McNeil Building, 3718 Locust Walk, Philadelphia, PA 19104-6297. Contact information at EDIRC.
Bibliographic data for series maintained by Wiley-Blackwell Digital Licensing () and ().