Statistical Inference for Lorenz Curves using Simulated Critical Values
Saku Aura
Journal of Income Distribution, 2000, vol. 09, issue 2, 5-5
Abstract:
This paper suggests an improvement in the traditional testing procedure of dominance relations associated with empirical Lorenz curves and their generalizations. This improvement is based on simulating the asymptotic approach of the test statistic. The simulation approach asymptotically dominates the traditional approach since the traditional method for calculating critical values establishes an upper bound for the simulated critical value. A gain in power is demonstrated in the empirical part of the paper dealing with the evolution of the distribution of disposable income in Finland between 1971 and 1994.
Date: 2000
References: Add references at CitEc
Citations:
Downloads: (external link)
http://jid.journals.yorku.ca/index.php/jid/article/view/602 (application/pdf)
Some fulltext downloads are only available to subscribers. See JID website 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:jid:journl:y:2000:v:09:i:2:p:5-5
Access Statistics for this article
More articles in Journal of Income Distribution from Ad libros publications inc. Contact information at EDIRC.
Bibliographic data for series maintained by Timm Boenke ( this e-mail address is bad, please contact ).