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Measuring trends in U.S. income inequality : theory and applications

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Cover of 'Measuring trends in U.S. income inequality : theory and applications'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Maximum Entropy Estimation Method
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    Chapter 3 Capabilities and Earnings Inequality
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    Chapter 4 Some New Functional Forms For Approximating Lorenz Curves
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    Chapter 5 Comparing Income Distributions Using Index Space Representations
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    Chapter 6 Coordinate Space vs. Index Space Representations as Estimation Methods: An Application to How Macro Activity Affects the U.S. Income Distribution
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    Chapter 7 A New Method for Estimating Limited Dependent Variables: An Analysis of Hunger
Attention for Chapter 4: Some New Functional Forms For Approximating Lorenz Curves
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Chapter title
Some New Functional Forms For Approximating Lorenz Curves
Chapter number 4
Book title
Measuring Trends in U.S. Income Inequality
Published by
Springer, Berlin, Heidelberg, January 1998
DOI 10.1007/978-3-642-58896-9_4
Book ISBNs
978-3-54-064229-9, 978-3-64-258896-9
Authors

Hang K. Ryu, Daniel J. Slottje

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