Salīdzināt metodes

	Lorenz Curve	Gini Coefficient	Index of Dissimilarity
Nozare	Sociology	Sociology	Sociology
Saime	Process / pipeline	Process / pipeline	Process / pipeline
Izcelsmes gads	1905	1912	1955
Autors	Max Otto Lorenz	Corrado Gini	Otis Dudley Duncan & Beverly Duncan
Tips	Graphical representation of distributional inequality	Scalar measure of statistical dispersion / inequality	Index of evenness of two groups across units
Pirmavots	Lorenz, M. O. (1905). Methods of measuring the concentration of wealth. Publications of the American Statistical Association, 9(70), 209–219.	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.	Duncan, O. D., & Duncan, B. (1955). A methodological analysis of segregation indexes. American Sociological Review, 20(2), 210–217.
Citi nosaukumi	Lorenz concentration curve, Lorenz diagram, cumulative share curve	Gini index, Gini ratio, Gini concentration ratio, G	dissimilarity index, Duncan index, D index, segregation index
Saistītās	5	5	5
Kopsavilkums	The 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.