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Measuring Trends in U.S. Income Inequality: Theory and Applications (Lecture Notes in Economics and Mathematical Systems, 459) by Hang K Ryu; Daniel Jonathan Slottje is a book available to read on EtoBox.

What is Measuring Trends in U.S. Income Inequality: Theory and Applications (Lecture Notes in Economics and Mathematical Systems, 459) about?

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

Author
Hang K Ryu; Daniel Jonathan Slottje
Publisher
Springer Spektrum. in Springer-Verlag GmbH
Published
2012
Language
EN
ISBN
9783540642299
Subjects
Political Science, Business, Social Science

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