okomarov/ginicoeff

A measure of statistical dispersion
2,8K téléchargements
Mise à jour 17 sept. 2017

A simple function to measure the statistical dispersion of a distribution. This statistic is commonly used to assess inequality in income or wealth.
The coefficients ranges from 1 (total inequality, one person receives ALL) to 0 (total equality, everyone receives the same amount).

The function ignores NaNs and can be computed with or without sample correction.
SYNTAXES:
(1) GINICOEFF(IN) One input syntax, columwise gini coeffs.
(2) GINICOEFF(...,DIM) Dim along which to compute the coeff (1 or 2)
(3) GINICOEFF(...,NOSAMPLECORR) Don't apply sample correction

[COEFF, IDXNEG] = ...
-- coeff : n by 1 vector with gini coefficients where n is the number of series in In.
-- IDX : n by 1 logical index. True means that the computation of the gini coefficient for that series has been skipped due to negative values or insufficient elements (less than 2).

NOTE: this statistical measure is meant to be applied only on positive values. If a series contains negative values or the elements of the less than 2, the coefficient yields NaN and a warning is issued if IDX is not called explicitly.

Citation pour cette source

Oleg Komarov (2024). okomarov/ginicoeff (https://github.com/okomarov/ginicoeff), GitHub. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2009b
Compatible avec toutes les versions
Plateformes compatibles
Windows macOS Linux

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Les versions qui utilisent la branche GitHub par défaut ne peuvent pas être téléchargées

Version Publié le Notes de version
1.4.0.0

Moved to github
NaNs were not ignored due to a misplacing in the lines of code

1.3.0.0

Per Jos (10584) suggestion: sample correction is now the default; if elements in a series < 2 --> NaN. Edited help. Added link to FEX page.

1.1.0.0

Edited description

1.0.0.0

Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.
Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.