A Cautionary Note on Estimating the Standard Error of the Gini Index of Inequality: Comment

2006 ◽  
Vol 68 (3) ◽  
pp. 391-393 ◽  
Author(s):  
Tomson Ogwang
Keyword(s):  
Standard Error ◽  
Gini Index ◽  
Cautionary Note ◽  
Index Of Inequality

Dispersion, Asymmetry and the Gini Index of Inequality

1987 ◽  
Vol 28 (2) ◽  
pp. 331 ◽  
Author(s):  
Z. M. Berrebi ◽  
Jacques Silber
Keyword(s):  
Gini Index ◽  
Index Of Inequality

scholarly journals Decomposition of Mehran and Piesch inequality measures by factor components and their application to the distribution of per capita household income in Brazil

2004 ◽  
Vol 24 (1) ◽  
pp. 149 ◽  
Author(s):  
Rodolfo Hoffmann
Keyword(s):  
Military Personnel ◽  
Coefficient Of Variation ◽  
Household Income ◽  
Gini Index ◽  
Concentration Ratio ◽  
Inequality Decomposition ◽  
Inequality Measures ◽  
Decomposition Procedure ◽  
Index Of Inequality ◽  
Per Capita

Inequality decomposition by factor components is extended to the Mehran and Piesch indices, comparing them with the decomposition of the Gini index, the squared coefficient of variation and the Theil's T coefficient. The decomposition procedure is applied to the distribution of per capita household income in Brazil in 1999, considering six components: earnings of civil servants and military personnel, earnings of other employees, earnings of self-employed workers, earnings of employers, pensions and, finally, all other incomes. One of the results is that for all the five measures used, the concentration ratio of pensions is higher than the overall index of inequality, indicating that this component is contributing to the increase in income inequality.

scholarly journals A Convenient Method of Decomposing the Gini Index by Population Subgroups

2014 ◽  
Vol 30 (1) ◽  
pp. 91-105 ◽  
Author(s):  
Tomson Ogwang
Keyword(s):  
Convenient Method ◽  
Standard Error ◽  
Regression Models ◽  
Gini Index ◽  
Artificial Data ◽  
Estimated Parameters ◽  
Subgroup Decomposition

Abstract We propose a convenient method of estimating the within-group, between-group, and interaction components of the overall traditional Gini index from the estimated parameters of underlying “trick regression models” involving known forms of heteroscedasticity related to income. Two illustrative examples involving both real and artificial data are provided. The issue of appropriate standard error of the subgroup decomposition is also discussed.

Can we Measure Inequalities without Measuring Equalities?

2008 ◽  
pp. 52
Author(s):  
Stéphane Mussard
Keyword(s):  
Statistical Inference ◽  
Gini Index ◽  
Income Source ◽  
Index Of Inequality

The purpose of this article is to show that the Gini index of equality is decomposable: (i) both by subgroup and income source and (ii) into a parametric configuration permitting statistical inference on equality components. We demonstrate that the Gini index of equality decompositions imply those of the Gini index of inequality. These results suggest that the use of the Gini index of equality decompositions yields the contribution of each income source to the within-group equality and to the between-group equality. The interpretation of the decomposed inequalities must be done with respect to those of equalities and vice versa.

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