Some Notes on the Gini Index and New Inequality Measures: The nth Gini Index

A new family of inequality indices based on the deviation between the expected maximum and the expected minimum of random samples, called the nth Gini index is presented. These indices generalize the Gini index. At the same time, this family of indices and the S-Gini index are generalized by proposing the uv-Gini index, which turns out to be a convex combination of the S-Gini index and the Lorenz family of inequality measures. This family of Gini indices provides a methodology for achieving perfect equality in a given distribution of incomes. This is achieved through a series of successive and equal increases in the incomes of each individual.

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Publication Details

Journal
Stats
Published
2024-11-01
DOI
https://doi.org/10.3390/stats7040078
Citations
5
Primary Topic
Income, Poverty, and Inequality
Type
article
Field-Weighted Citation Impact
5.66
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article

Some Notes on the Gini Index and New Inequality Measures: The nth Gini Index

África Ruiz Gándara, Luis González Abril, José Manuel Gavilán Ruiz, Francisco Javier Ortega Irizo
5 citations
Stats
Income, Poverty, and Inequality
5.66
article

Some Notes on the Gini Index and New Inequality Measures: The nth Gini Index

África Ruiz Gándara, Luis González Abril, José Manuel Gavilán Ruiz, Francisco Javier Ortega Irizo
article en
5 citations

Abstract

A new family of inequality indices based on the deviation between the expected maximum and the expected minimum of random samples, called the nth Gini index is presented. These indices generalize the Gini index. At the same time, this family of indices and the S-Gini index are generalized by proposing the uv-Gini index, which turns out to be a convex combination of the S-Gini index and the Lorenz family of inequality measures. This family of Gini indices provides a methodology for achieving perfect equality in a given distribution of incomes. This is achieved through a series of successive and equal increases in the incomes of each individual.

StatsVol. 7(4)
Universidad de Sevilla (ES)
No poverty
Openalex Percentile: Top 4%
Income, Poverty, and Inequality
5.66
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