The Gini Methodology : A Primer on a Statistical Methodology

Gini's mean difference (GMD) was first introduced by Corrado Gini in 1912 as an alternative measure of variability. GMD and the parameters which are derived from it (such as the Gini coefficient or the concentration ratio) have been in use in the area of income distribution for almost a century...

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Detaylı Bibliyografya
Asıl Yazarlar: Yitzhaki, Shlomo, Schechtman, Edna (Yazar)
Materyal Türü: Livre numérique
Dil:Anglais
Baskı/Yayın Bilgisi: New York, NY : Springer New York [20..].
Cham : Springer Nature
Edisyon:1st ed. 2013.
Seri Bilgileri:Springer Series in Statistics 272
Online Erişim:Accès sur la plateforme de l'éditeur
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Not: Archives Springer e-books (Licence nationale)
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Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• The Gini methodology, a primer on a statistical methodology, Shlomo Yitzhaki, Edna Schechtman, New York, Springer, 2013, 1 vol. (XVI-548 p.), Springer series in statistics, 978-1-4614-4719-1
İçindekiler:
  • Introduction More Than a Dozen Alternative Ways of Spelling Gini The Gini equivalents of the covariance, the correlation and the regression coefficient Decompositions of the GMD The Lorenz curve and the concentration curve The extended Gini family of measures Gini Simple Regressions Multiple Regressions Inference on Gini-based parameters -estimation Inference on Gini-based parameters -testing Inference on Lorenz and on Concentration curves Introduction to applications Social welfare, relative deprivation and the Gini coefficient Policy Analysis.-  Policy Analysis Using the Decomposition of the Gini by non-marginal analysis.- Incorporating poverty in Policy Analysis - the Marginal Analysis case Introduction to applications of the GMD and the Lorenz curve in finance The mean-Gini portfolio and the pricing of capital assets Applications of Gini methodology in regression analysis Gini's multiple regressions: two approaches and their interaction Mixed OLS, Gini and extended Gini regressions.-  An application in statistics - ANOGI Suggestions for further research