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Mathematical Modelling in Economics pp 207–220Cite as

Aggregation and Graphical Representation of Input-Output Tables

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Abstract

Although input-output tables are more or less confusing data collections, there are only few applications of multivariate data analysis for these data in the literature. In this paper we show an aggregation procedure and correspondence analysis, both based on X2-distances, in application to input-output tables. Especially correspondence analysis seems to be an ideal tool for these data. Tables for the Federal Republic of Germany from 1978 to 1986 are analyzed to expose structures (static analysis) and uncover structural changes (comparative-static analysis) for the 58 economic sectors included in that kind of data.

Keywords

  • Correspondence Analysis
  • Multivariate Data Analysis
  • Aggregation Procedure
  • Transition Formula
  • Total Inertia

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Author information

Authors and Affiliations

  1. Lehrstuhl für Mathematische Methoden der Wirtschaftswissenschaften, Universität Augsburg, Germany

    Otto Opitz

Authors
  1. Wolfgang Hauke
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  2. Otto Opitz
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Editor information

Editors and Affiliations

  1. Department of Economics, University of British Columbia, #997-1873 East Mall, V6T 1W5, Vancouver, B.C., Canada

    Prof. Dr. W. Erwin Diewert

  2. University of Hong Kong, K.K. Leung Building, Hong Kong

    Prof. Dr. Klaus Spremann

  3. Department of Economics, University of Ulm, Helmholtzstraße 18, D-89069, Ulm/Donau, Germany

    Prof. Dr. Frank Stehling

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© 1993 Springer-Verlag Berlin · Heidelberg

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Hauke, W., Opitz, O. (1993). Aggregation and Graphical Representation of Input-Output Tables. In: Diewert, W.E., Spremann, K., Stehling, F. (eds) Mathematical Modelling in Economics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-78508-5_20

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  • DOI: https://doi.org/10.1007/978-3-642-78508-5_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-78510-8

  • Online ISBN: 978-3-642-78508-5

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