| Document Type
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BL
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| Record Number
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751193
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| Doc. No
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b571152
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| Main Entry
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Hang K. Ryu, Daniel J. Slottje.
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| Title & Author
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Measuring trends in U.S. income inequality : : theory and applications\ Hang K. Ryu, Daniel J. Slottje.
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| Publication Statement
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Berlin ; New York : Springer, ©1998.
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| Series Statement
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Lecture notes in economics and mathematical systems, 459.
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| Page. NO
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(xi, 195 pages) : illustrations
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| ISBN
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3642588964
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: 9783642588969
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| Contents
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Introduction --; The Maximum Entropy Estimation Method --; Capabilities and Earnings Inequality --; Some New Functional Forms for Approximating Lorenz Curves --; Comparing Income Distributions Using Index Space Representations --; Coordinate Space vs. Index Space Representations as Estimation Methods: An Application to How Macro Activity Affects the U.S. Income Distribution --; A New Methods for Estimating Latent Variables: An Analysis of Hunger.
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| Abstract
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This book presents methods for analyzing trends in income inequality over time. The different innovative techniques which the authors have developed for the examination of changes in the size distribution of income, are for the first time described in a consistent and coherent fashion. The methods are based on the maximum entropy principle which is intuitively explained in the book. New ways to analyze Lorenz curves are introduced as well as new techniques for comparing income distributions (and the level of inequality inherent herein) both over time and across space. The book should be of interest to students, scholars and policy makers alike.
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| Subject
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Income distribution -- Econometric models.
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| Subject
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Income distribution -- United States -- Econometric models.
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| Subject
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United States.
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| LC Classification
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HC110.I5H364 1998
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| Added Entry
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Daniel Jonathan Slottje
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Hang K Ryu
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