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  • Produktbild: The Gini Methodology
  • Produktbild: The Gini Methodology
Band 272 - 12%

The Gini Methodology A Primer on a Statistical Methodology

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

13.11.2012

Verlag

Springer Us

Seitenzahl

548

Maße (L/B/H)

24,1/16/3,6 cm

Gewicht

1004 g

Auflage

Repr. d. Ausg. v. 2012

Sprache

Englisch

ISBN

978-1-4614-4719-1

Beschreibung

Rezension

“This book represents a useful primer on the Gini methodology area. It is recommended to all readers who are interested in learning more about econometrics and welfare economics, particularly Gini regressions, Gini-based parameters, inference purposes with many empirical applications.” (Ndéné Ka and Stéphane Mussard, The Journal of Economic Inequality, Vol. 13, 2015)

“The book The Gini methodology by S. Yitzhaki and E. Schechtman is based on Gini’s Mean Deviation (GMD) and the methodology based on it. … To a student acquainted with the usual methods of statistics, the book provides an interesting alternative technique which makes for very good reading. Even at an advanced level, it provides a refreshing perspective through which the traditional methods can examined.” (Sugata Sen Roy, Mathematical Reviews, February, 2014)

"In recent decades we have seen a growing interest of scholars of different cultural background on the results and problems related to Corrado Gini’s scientific production and in particular on the mean difference (GMD) and his famous “concentration ratio” also known as Gini inequality index or Gini coefficient (GI). Now, these scholars have a fresh and clear source from which to draw information and ideas to satiate their thirst for knowledge by reading the very interesting and stimulating book “
The G

ini methodology: a primer on a statistical methodology” authored by Shlomo Yitzhaki and Edna Schechtman and published in January 2013 by Springer.

It is a book that addresses the theoretical, methodological and applicative aspects related to a set of measures based on the GMD and the GI. The book proposes solutions, but also invites to make further analysis, to address problems not yet resolved, to find alternatives to some aspects not yet fully analyzed and to suggest new applications."

(Giovanni Maria Giorgi, Metron, Vol. 71 (2) 2013)

Zitat

From the reviews:"In recent decades we have seen a growing interest of scholars of different cultural background on the results and problems related to Corrado Gini's scientific production and in particular on the mean difference (GMD) and his famous "concentration ratio" also known as Gini inequality index or Gini coefficient (GI). Now, these scholars have a fresh and clear source from which to draw information and ideas to satiate their thirst for knowledge by reading the very interesting and stimulating book "The Gini methodology: a primer on a statistical methodology" authored by Shlomo Yitzhaki and Edna Schechtman and published in January 2013 by Springer.
It is a book that addresses the theoretical, methodological and applicative aspects related to a set of measures based on the GMD and the GI. The book proposes solutions, but also invites to make further analysis, to address problems not yet resolved, to find alternatives to some aspects not yet fully analyzed and to suggest new applications." (Giovanni Maria Giorgi, Metron, Vol. 71 (2) 2013)

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

13.11.2012

Verlag

Springer Us

Seitenzahl

548

Maße (L/B/H)

24,1/16/3,6 cm

Gewicht

1004 g

Auflage

Repr. d. Ausg. v. 2012

Sprache

Englisch

ISBN

978-1-4614-4719-1

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: ProductSafety@springernature.com

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  • Produktbild: The Gini Methodology
  • Produktbild: The Gini Methodology
  • 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