Measuring inequality beyond the Gini coefficient may clarify conflicting findings. [PDF]
Blesch K, Hauser OP, Jachimowicz JM.
europepmc +1 more source
Lessons from COVID-19 pandemic: Analysis of unequal access to food stores using the Gini coefficient. [PDF]
Li CE, Lin ZH, Hsu YY, Kuo NW.
europepmc +1 more source
Estimation and Verification for Polarization of Income Distribution in Korea
Upon analyzing several Korean Income data sets, it is confirmed that the relationship between Gini coefficient and bi-polarization measure (EGR) is empirically not different although they each come from different theoretical basis.
Yoo, Gyeong joon
doaj +1 more source
Estimating Income Inequality in China Using Grouped Data and the Generalized Beta Distribution [PDF]
Gini coefficient, generalized beta distribution, urban and rural ...
Chotikapanich, Duangkamon+2 more
core
Research on the equity of health resource allocation in TCM hospitals in China based on the Gini coefficient and agglomeration degree: 2009-2018. [PDF]
Dai G, Li R, Ma S.
europepmc +1 more source
On the Decomposition of the Gini Coefficient: an Exact Approach, with an Illustration Using Cameroonian Data [PDF]
Decomposing inequality indices across household groups or income sources is useful in estimating the contribution of each component to total inequality.
Abdelkrim Araar
core
Equity analysis of Chinese physician allocation based on Gini coefficient and Theil index. [PDF]
Yu H, Yu S, He D, Lu Y.
europepmc +1 more source
An elementary characterization of the Gini index [PDF]
The Gini coefficient or index is perhaps one of the most used indicators of social and economic conditions. In this paper we characterize the Gini index as the unique function that satisfies the properties of scale invariance, symmetry, proportionality ...
Plata-Perez, Leobardo+2 more
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Sources of Income Inequality in Ireland [PDF]
This paper analyses inequality in Ireland via a decomposition of the Gini coefficient by source of income. Using data from the Irish Household Budget Survey of 1987, seventeen components of disposable income are identified and their contribution to ...
David Madden
core
Determinants of Youth Poverty: A Zip Code Analysis [PDF]
Estimation of Gini coefficients for various age groups indicates that Kentucky youth population is at risk. The paper determines the factors affecting youth poverty, employing Zip Code data.
Debertin, David L., Misra, Kaustav
core +1 more source