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Lorenz Curve×Gini Coefficient×Index of Dissimilarity×
CampSociologySociologySociology
FamíliaProcess / pipelineProcess / pipelineProcess / pipeline
Any d'origen190519121955
Autor originalMax Otto LorenzCorrado GiniOtis Dudley Duncan & Beverly Duncan
TipusGraphical representation of distributional inequalityScalar measure of statistical dispersion / inequalityIndex of evenness of two groups across units
Font seminalLorenz, M. O. (1905). Methods of measuring the concentration of wealth. Publications of the American Statistical Association, 9(70), 209–219. DOI ↗Ceriani, L., & Verme, P. (2012). The origins of the Gini index: extracts from Variabilità e Mutabilità (1912) by Corrado Gini. The Journal of Economic Inequality, 10(3), 421–443. DOI ↗Duncan, O. D., & Duncan, B. (1955). A methodological analysis of segregation indexes. American Sociological Review, 20(2), 210–217. DOI ↗
ÀliesLorenz concentration curve, Lorenz diagram, cumulative share curveGini index, Gini ratio, Gini concentration ratio, Gdissimilarity index, Duncan index, D index, segregation index
Relacionats555
ResumThe Lorenz curve is a graphical device that displays the full shape of inequality in a distribution by plotting the cumulative share of a quantity (such as income) held by the cumulative share of the population, ranked from poorest to richest. Introduced by Max Lorenz in 1905, it underlies the Gini coefficient and provides the basis for ranking distributions by inequality when one curve lies entirely above another.The Gini coefficient is the most widely used single-number summary of inequality in a distribution such as income or wealth. Introduced by the Italian statistician Corrado Gini in 1912, it equals twice the area between the Lorenz curve and the line of perfect equality, ranging from 0 when everyone has the same amount to a maximum approaching 1 when one unit holds everything.The index of dissimilarity, often called the Duncan segregation index, measures how unevenly two groups — such as two racial or occupational groups — are distributed across a set of units like neighborhoods, schools, or occupations. It ranges from 0, when both groups have identical distributions across units, to 1, when the units are completely segregated, and has the intuitive interpretation of the share of one group that would have to relocate to achieve an even distribution.
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ScholarGateCompara mètodes: Lorenz Curve · Gini Coefficient · Index of Dissimilarity. Recuperat el 2026-06-25 de https://scholargate.app/ca/compare