Browsing Statistisk sentralbyrås publikasjonsserier / Published by Statistics Norway by Subject "Lorenz curve"
Now showing items 1-6 of 6
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Asymptotic distribution theory of empirical rank-dependent measures of inequality
(Discussion Papers;No. 402, Working paper, 2005)Abstract: A major aim of most income distribution studies is to make comparisons of income inequality across time for a given country and/or compare and rank different countries according to the level of income inequality. ... -
Choosing measures of inequality for empirical applications
(Discussion Papers;No. 158, Working paper, 1995)This paper is concerned with the distribution of income and the problem of choosing summary measures of inequality for empirical applications. By introducing a simple transformation of the Lorenz curve one is led to three ... -
Mean-spread-preserving transformations
(Discussion Papers;No. 360, Working paper, 2003)Abstract: The purpose of this paper is to define various mean-spread-preserving transformations, which can be considered as generalized versions of the mean-Gini-preserving transformation. The mean-Ginipreserving tran ... -
Modeling concentration and dispersion in multiple regression
(Discussion Papers;No. 412, Working paper, 2005)We consider concepts and models that are useful for measuring how strongly the distribution of a positive response Y is concentrated near a value y0 > 0 with a focus on how concentration varies as a function of covariates. ... -
Ranking intersecting Lorenz curves
(Discussion Papers;No. 271, Working paper, 2000)This paper is concerned with the problem of ranking Lorenz curves in situations where the Lorenz curves intersect and no unambiguous ranking can be attained without introducing weaker ranking criteria than first-degree ... -
Robust inequality comparisons
(Discussion Papers;No. 623, Working paper, 2010)Abstract: This paper is concerned with the problem of ranking Lorenz curves in situations where the Lorenz curves intersect and no unambiguous ranking can be attained without introducing weaker ranking criteria than ...