Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/189234 
Year of Publication: 
1994
Series/Report no.: 
Queen's Economics Department Working Paper No. 913
Publisher: 
Queen's University, Department of Economics, Kingston (Ontario)
Abstract: 
This paper addresses the sampling distribution of two general classes of normative income inequality indices. Specifically, for approximations to the Atkinson-Kolm-Sen index of relative inequality and the Kolm-Blackorby-Donaldson index of absolute inequality, the paper provides consistent estimators based on a random sample of income microdata and establishes their asymptotic normality. Asymptotic variance-covariance expressions are obtained that provide for distribution-free statistical inference on these measures in a straightforward fashion. The paper thus extends the principles of statistical inference to current classes of normative inequality measures and to Atkinson's equally distributed income measure, using a general approximation approach. An example using Canadian family income microdata illustrates the technique.
Document Type: 
Working Paper

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