Factor Components, Population Subgroups and the Computation of the Gini Index of Inequality

1989 ◽  
Vol 71 (1) ◽  
pp. 107 ◽  
Author(s):  
Jacques Silber
Keyword(s):  
Gini Index ◽  
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.

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.

scholarly journals Socioeconomic inequalities in physical and cognitive functioning: cross-sectional evidence from 37 cohorts across 28 countries in the ATHLOS project

2021 ◽  
pp. jech-2020-214714
Author(s):  
Denes Stefler ◽  
Matthew Prina ◽  
Yu-Tzu Wu ◽  
Albert Sánchez-Niubò ◽  
Wentian Lu ◽  
...  
Keyword(s):  
Cognitive Functioning ◽  
Gini Index ◽  
Multilevel Models ◽  
Wealth Distribution ◽  
Population Based ◽  
Social Contexts ◽  
Socioeconomic Inequalities ◽  
Cross Sectional ◽  
Socioeconomic Gradient ◽  
Index Of Inequality

BackgroundPhysical and cognitive functioning in older age follows a socioeconomic gradient but it is unclear whether the strength of the association differs between populations. Using harmonised data from an international collaboration of cohort studies, we assessed socioeconomic inequalities in physical and cognitive functioning and explored if the extent of inequalities varied across countries based on their economic strength or wealth distribution.MethodsHarmonised data from 37 population-based cohorts in 28 countries were used, with an overall sample size of 126 765. Socioeconomic position of participants was indicated by education and household income. Physical functioning was assessed by self-reported mobility and activities of daily living; and cognitive functioning by memory and verbal fluency tests. Relative (RII) and slope (SII) index of inequality were calculated in each cohort, and their association with the source country’s Gross Domestic Product (GDP) and Gini-index was assessed with correlation and cross-level interaction in multilevel models.ResultsRII and SII values indicated consistently higher risk of low physical and cognitive functioning in participants with lower education or income across cohorts. Regarding RII, there were weak but statistically significant correlations and interactions with GDP and Gini-index, suggesting larger inequalities in countries with lower Gini-index and higher GDP. For SII, no such correlations were observed.ConclusionThis study confirms that socioeconomic inequalities in physical and cognitive functioning exist across different social contexts but the magnitude of these inequalities varies. Relative inequalities appear to be larger in higher-income countries but it remains to be seen whether such observation can be replicated.

Sign in / Sign up

Export Citation Format

Share Document