Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/59083 
Year of Publication: 
2010
Citation: 
[Journal:] Revista de Métodos Cuantitativos para la Economía y la Empresa [ISSN:] 1886-516X [Volume:] 10 [Publisher:] Universidad Pablo de Olavide [Place:] Sevilla [Year:] 2010 [Pages:] 5-18
Publisher: 
Universidad Pablo de Olavide, Sevilla
Abstract: 
In this paper, several identities concerning expectation, variance, covariance, cumulative distribution functions, the coefficient of variation, and the Lorenz curve are obtained and they are used in establishing theoretical results. Furthermore, a graphical representation of the variance is proposed which, together with the aforementioned identities, enables the square of the coeffcient of variation to be considered as an equality measure in the same way as is the Gini index. A study of the similarities between the theoretical expression of the Gini index and the square of the coefficient of variation is also carried out in this paper.
Subjects: 
concentration measures
cumulative distribution function
Lorenz curve
mean difference.
JEL: 
C10
C19
Creative Commons License: 
cc-by-sa Logo
Document Type: 
Article

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.