A Strong Factor for the Reduction of Inequality: Difference between revisions
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The inequality is computed through the so-called Gini index. The population is assumed to have the variable of interest distributed according to the Gamma probability distribution. The results show that the Gini index is reduced when the population is grouped. The number of individuals in the groups is the relevant parameter, but this number does not need to be very large in order to obtain a very substantial reduction of inequality.</p></span></span>[[Category:Scientific Paper]] | The inequality is computed through the so-called Gini index. The population is assumed to have the variable of interest distributed according to the Gamma probability distribution. The results show that the Gini index is reduced when the population is grouped. The number of individuals in the groups is the relevant parameter, but this number does not need to be very large in order to obtain a very substantial reduction of inequality.</p></span></span> | ||
[[Category:Scientific Paper|strong factor reduction inequality]] | |||
Latest revision as of 13:03, 1 January 2017
| Scientific Paper | |
|---|---|
| Title | A Strong Factor for the Reduction of Inequality |
| Author(s) | Diego Jos? Arturo Sa |
| Keywords | econophysics, thermodynamics, probability distributions, Gini |
| Published | 2006 |
| Journal | ArXiv |
| No. of pages | 11 |
Abstract
The inequality is computed through the so-called Gini index. The population is assumed to have the variable of interest distributed according to the Gamma probability distribution. The results show that the Gini index is reduced when the population is grouped. The number of individuals in the groups is the relevant parameter, but this number does not need to be very large in order to obtain a very substantial reduction of inequality.