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The Gini Methodology

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Cover of 'The Gini Methodology'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction
  3. Altmetric Badge
    Chapter 2 More Than a Dozen Alternative Ways of Spelling Gini
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    Chapter 3 The Gini Equivalents of the Covariance, the Correlation, and the Regression Coefficient
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    Chapter 4 Decompositions of the GMD
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    Chapter 5 The Lorenz Curve and the Concentration Curve
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    Chapter 6 The Extended Gini Family of Measures
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    Chapter 7 Gini Simple Regressions
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    Chapter 8 Multiple Regressions
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    Chapter 9 Inference on Gini-Based Parameters: Estimation
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    Chapter 10 Inference on Gini-Based Parameters: Testing
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    Chapter 11 Inference on Lorenz and on Concentration Curves
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    Chapter 12 Introduction to Applications
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    Chapter 13 Social Welfare, Relative Deprivation, and the Gini Coefficient
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    Chapter 14 Policy Analysis
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    Chapter 15 Policy Analysis Using the Decomposition of the Gini by Non-marginal Analysis
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    Chapter 16 Incorporating Poverty in Policy Analysis: The Marginal Analysis Case
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    Chapter 17 Introduction to Applications of the GMD and the Lorenz Curve in Finance
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    Chapter 18 The Mean-Gini Portfolio and the Pricing of Capital Assets
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    Chapter 19 Applications of Gini Methodology in Regression Analysis
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    Chapter 20 Gini’s Multiple Regressions: Two Approaches and Their Interaction
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    Chapter 21 Mixed OLS, Gini, and Extended Gini Regressions
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    Chapter 22 An Application in Statistics: ANOGI
  24. Altmetric Badge
    Chapter 23 Suggestions for Further Research
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Title
The Gini Methodology
Published by
Springer New York, November 2012
DOI 10.1007/978-1-4614-4720-7
ISBNs
978-1-4614-4719-1, 978-1-4614-4720-7
Authors

Yitzhaki, Shlomo, Schechtman, Edna

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Mexico 1 <1%
Unknown 100 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 33%
Student > Master 19 18%
Researcher 12 12%
Student > Doctoral Student 10 10%
Student > Bachelor 9 9%
Other 9 9%
Unknown 10 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 16%
Biochemistry, Genetics and Molecular Biology 14 14%
Engineering 12 12%
Computer Science 10 10%
Earth and Planetary Sciences 6 6%
Other 29 28%
Unknown 16 16%