rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Measuring trends in U.S. income inequality
    sub title: theory and applications
  name:
    name part: Ryu, Hang K. (Hang Keun)
    name part: 1950-
    role:
      role term: creator
  name:
    name part: Slottje, Daniel Jonathan
    name part: 1957-
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: nyu
    date issued: 1998
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xi, 195 pages) : illustrations
  abstract: 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.
  table of contents: 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.
  note: Hang K. Ryu, Daniel J. Slottje.
  note: Electronic resource.
  note: Includes bibliographical references (pages 183-191).
  subject:
    geographic code: n-us---
  subject:
    topic: Income distribution
    geographic: United States
    topic: Econometric models
  subject:
    topic: Income distribution
    topic: Econometric models
  subject:
    geographic: United States
  classification: JF20-2112
  classification: 339.2/0973
  related item:
    title info:
      title: Lecture notes in economics and mathematical systems ; 459
  identifier: 9783642588969 (electronic bk.)
  identifier: 3642588964 (electronic bk.)
  identifier: 3540642293
  identifier: 9783540642299
  identifier: 98003099
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: VT2
    record creation date: 980212
    record change date: 20260422180121.8
    record identifier: in00003553500
    language of cataloging:
      language term: eng