A characterization of income distributions in terms of generalized Gini coefficients |
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| Authors: | Christian Kleiber Samuel Kotz |
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| Institution: | 1.?Fachbereich Statistik, Universit?t Dortmund, D-44221 Dortmund, Germany (e-mail: Kleiber@statistik.uni-dortmund.de),DE;2.?Department of Engineering Management and Systems Engineering, George Washington University, Washington, DC, USA (e-mail: kotz@seas.gwu.edu),US |
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| Abstract: | Most commonly used parametric models for the size distribution of incomes possess only a few finite moments, and hence cannot
be characterized by the sequence of their moments. However, all income distributions with a finite mean can be characterized
by the sequence of first moments of the order statistics. This is an attractive feature since the generalized Gini coefficients
of Kakwani (1980), Donaldson and Weymark (1980, 1983) and Yitzhaki (1983) are simple functions of expectations of sample minima.
We present results which streamline these characterizations motivated by Aaberge (2000).
Received: 8 March 2001/Accepted: 31 July 2001 |
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