Distribution-Free Statistical Inference for Inequality Dominance with Crossing Lorenz Curves
AbstractDistribution-free techniques of statistical inference are developed for the cumulative coefficients of variation of an income distribution, thus allowing one to test for inequality dominance when Lorenz curves cross. The full covariance structure of the cumulative sample means and variances is worked out. As an illustration, the procedures are applied to the 1984 and 1990 earnings distributions of male paid workers in the United States, and it is found that the 1990 distribution was significantly less unequal than the 1984 distribution.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Queen's University, Department of Economics in its series Working Papers with number 912.
Length: 18 pages
Date of creation: Nov 1994
Date of revision:
Other versions of this item:
- Beach, C.M. & Dividson, R. & Slotsve, G.A., 1995. "Distribution Free Statistical Inference for Inequality Dominance with Crossing Lorenx Curves," G.R.E.Q.A.M. 95a03, Universite Aix-Marseille III.
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Rebecca Valenzuela & Hooi Hooi Lean, 2007. "Stochastic Dominance Analysis Of Australian Income Distributions," Monash Economics Working Papers 21-07, Monash University, Department of Economics.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mark Babcock).
If references are entirely missing, you can add them using this form.