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Measuring Trends in U.S. Income Inequality

Theory and Applications

  • Hang K. Ryu
  • Daniel J. Slottje

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

Table of contents

  1. Front Matter
    Pages i-xi
  2. Hang K. Ryu, Daniel J. Slottje
    Pages 1-10
  3. Hang K. Ryu, Daniel J. Slottje
    Pages 11-47
  4. Hang K. Ryu, Daniel J. Slottje
    Pages 49-69
  5. Hang K. Ryu, Daniel J. Slottje
    Pages 71-100
  6. Hang K. Ryu, Daniel J. Slottje
    Pages 101-136
  7. Back Matter
    Pages 183-195

About this book

Introduction

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.

Keywords

Einkommensgleichheit Einkommensverteilung Lorenz-Kurve calculus earnings flexible lorenz curve income distribution income inequality lorenz curve

Authors and affiliations

  • Hang K. Ryu
    • 1
  • Daniel J. Slottje
    • 2
  1. 1.Department of EconomicsChung Ang UniversitySeoulKorea
  2. 2.Department of EconomicsSouthern Methodist UniversityDallasUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-58896-9
  • Copyright Information Springer-Verlag Berlin Heidelberg 1998
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-64229-9
  • Online ISBN 978-3-642-58896-9
  • Series Print ISSN 0075-8442
  • Buy this book on publisher's site