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

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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

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Inequality in Economics: The Concept, Perception, Types, and Driving Forces

Article in Journal of Management and Business Administration, Central Europe (March 2019)

Maximum entropy estimation of income distributions from Basmann’s weighted geometric mean measure

Article in Journal of Econometrics (August 2017)

A New Inequality Measure that is Sensitive to Extreme Values and Asymmetries

Preprint in SSRN Electronic Journal (January 2017)

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