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Measuring Trends in U.S. Income Inequality

Theory and Applications

  • Book
  • © 1998

Overview

Authors:
  1. Hang K. Ryu

    1. Department of Economics, Chung Ang University, Seoul, Korea

    View author publications

    You can also search for this author in PubMed   Google Scholar

  2. Daniel J. Slottje

    1. Department of Economics, Southern Methodist University, Dallas, USA

    View author publications

    You can also search for this author in PubMed   Google Scholar

Part of the book series: Lecture Notes in Economics and Mathematical Systems (LNE, volume 459)

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-xi
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  2. Introduction

    • Hang K. Ryu, Daniel J. Slottje
    Pages 1-10

  3. Maximum Entropy Estimation Method

    • Hang K. Ryu, Daniel J. Slottje
    Pages 11-47

  4. Capabilities and Earnings Inequality

    • Hang K. Ryu, Daniel J. Slottje
    Pages 49-69

  5. Some New Functional Forms For Approximating Lorenz Curves

    • Hang K. Ryu, Daniel J. Slottje
    Pages 71-100

  6. Comparing Income Distributions Using Index Space Representations

    • Hang K. Ryu, Daniel J. Slottje
    Pages 101-136

  7. Coordinate Space vs. Index Space Representations as Estimation Methods: An Application to How Macro Activity Affects the U.S. Income Distribution

    • Hang K. Ryu, Daniel J. Slottje
    Pages 137-159

  8. A New Method for Estimating Limited Dependent Variables: An Analysis of Hunger

    • Hang K. Ryu, Daniel J. Slottje
    Pages 161-182

  9. Back Matter

    Pages 183-195
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Keywords

About this book

This book is the culmination of roughly seven years of joint research be­ tween us. We have both been interested in income inequality measurement for a considerably longer period of time. One author (Ryu) has a back­ ground in physics. While he was working on his Ph. D. in Physics at M. I. T. he became acquainted with Robert Solow. Professor Solow introduced Ryu to economics. After finishing his Ph. D. in physics, Ryu went on to the Uni­ versity of Chicago where Arnold Zellner guided him to a dissertation on using orthonormal basis and maximum entropy as estimation methods in econometric applications. The precise definition and examples of orthonormal basis (ONB) and maximum entropy (ME) methods will be given in the book. As it turns out, a natural application of these methods is the study of income distribution. Professor Zellner suggested that Ryu look at some of my joint work with Robert Basmann on functional forms of Lorenz curves as one starting place to do his own research. Ryu requested some of our data and asked for several of our papers with the express pur­ pose of introducing functional forms of Lorenz curves that Ryu felt would do a better job of approximating the empirical Lorenz curve. Thus, our first introduction was essentially one of Ryu trying to invent a better mousetrap. The interested reader can review the results given in Basmann et al. (1990) and Chapter Four of this book to see if Ryu succeeded.

Authors and Affiliations

  • Department of Economics, Chung Ang University, Seoul, Korea

    Hang K. Ryu

  • Department of Economics, Southern Methodist University, Dallas, USA

    Daniel J. Slottje

Bibliographic Information

  • Book Title: Measuring Trends in U.S. Income Inequality

  • Book Subtitle: Theory and Applications

  • Authors: Hang K. Ryu, Daniel J. Slottje

  • Series Title: Lecture Notes in Economics and Mathematical Systems

  • DOI: https://doi.org/10.1007/978-3-642-58896-9

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1998

  • Softcover ISBN: 978-3-540-64229-9Published: 20 May 1998

  • eBook ISBN: 978-3-642-58896-9Published: 06 December 2012

  • Series ISSN: 0075-8442

  • Series E-ISSN: 2196-9957

  • Edition Number: 1

  • Number of Pages: XII, 196

  • Topics: Social Policy, Econometrics, Economic Policy

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