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Gini Coefficient


The Gini coefficient (or Gini ratio) G is a summary statistic of the Lorenz curve and a measure of inequality in a population. The Gini coefficient is most easily calculated from unordered size data as the "relative mean difference," i.e., the mean of the difference between every possible pair of individuals, divided by the mean size mu,

 G=(sum_(i=1)^(n)sum_(j=1)^(n)|x_i-x_j|)/(2n^2mu)

(Dixon et al. 1987, Damgaard and Weiner 2000). Alternatively, if the data is ordered by increasing size of individuals, G is given by

 G=(sum_(i=1)^(n)(2i-n-1)x_i^')/(n^2mu)

(Dixon et al. 1988, Damgaard and Weiner 2000), correcting the typographical error in the denominator given in the original paper (Dixon et al. 1987).

The Gini coefficient ranges from a minimum value of zero, when all individuals are equal, to a theoretical maximum of one in an infinite population in which every individual except one has a size of zero. It has been shown that the sample Gini coefficients defined above need to be multiplied by n/(n-1) in order to become unbiased estimators for the population coefficients.


See also

Lorenz Asymmetry Coefficient, Lorenz Curve

This entry contributed by Christian Damgaard

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References

Damgaard, C. and Weiner, J. "Describing Inequality in Plant Size or Fecundity." Ecology 81, 1139-1142, 2000.Dixon, P. M.; Weiner, J.; Mitchell-Olds, T.; and Woodley, R. "Bootstrapping the Gini Coefficient of Inequality." Ecology 68, 1548-1551, 1987.Dixon, P. M.; Weiner, J.; Mitchell-Olds, T.; and Woodley, R. "Erratum to 'Bootstrapping the Gini Coefficient of Inequality.' " Ecology 69, 1307, 1988.Gini, C. "Variabilitá e mutabilita." 1912. Reprinted in Memorie di metodologia statistica (Ed. E. Pizetti and T. Salvemini.) Rome: Libreria Eredi Virgilio Veschi, 1955.Glasser, G. J. "Variance Formulas for the Mean Difference and Coefficient of Concentration." J. Amer. Stat. Assoc. 57, 648-654, 1962.Sen, A. On Economic Inequality. Oxford, England: Clarendon Press, 1973.

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Gini Coefficient

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Damgaard, Christian. "Gini Coefficient." From MathWorld--A Wolfram Web Resource, created by Eric W. Weisstein. https://mathworld.wolfram.com/GiniCoefficient.html

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