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On the Methodology of Input–Output Analysis

In: Input–Output Economics: Theory And Applications Featuring Asian Economies

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  • Thijs ten Raa

Abstract

The basic elements of input–output analysis, notably technical coefficients, quantity and value equations, and a total factor productivity growth measure, are derived as intermediate constructs when the problem of national income or product determination is directly related to input and output flow data. By embedding input–output concepts in a neoclassical framework, specification issues are resolved, notably the problems of construction of coefficients and of determination of value. Conversely, neoclassical concepts of marginal productivities can be related to a consistent input–output framework of data. Sources of substitution are identified.

Suggested Citation

  • Thijs ten Raa, 2009. "On the Methodology of Input–Output Analysis," World Scientific Book Chapters, in: Input–Output Economics: Theory And Applications Featuring Asian Economies, chapter 9, pages 123-149, World Scientific Publishing Co. Pte. Ltd..
  • Handle: RePEc:wsi:wschap:9789812833679_0009
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    Cited by:

    1. Gary A. Dymski, 2004. "Poverty and Social Discrimination: A Spatial Keynesian Approach," Working Papers 002, Universidade Federal do Paraná, Department of Economics.
    2. Sofiane Ghali & Pierre Mohnen, 2002. "Restructuring And Economic Performance: The Experience Of The Tunisian Economy," CIRANO Working Papers 2002s-26, CIRANO.
    3. Thijs ten Raa & José Manuel Rueda-Cantuche, 2009. "The Construction of Input–Output Coefficients Matrices in an Axiomatic Context: Some Further Considerations," World Scientific Book Chapters, in: Input–Output Economics: Theory And Applications Featuring Asian Economies, chapter 6, pages 77-101, World Scientific Publishing Co. Pte. Ltd..
    4. C. Oliveira & D. Coelho & C. H. Antunes, 2016. "Coupling input–output analysis with multiobjective linear programming models for the study of economy–energy–environment–social (E3S) trade-offs: a review," Annals of Operations Research, Springer, vol. 247(2), pages 471-502, December.

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