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Biproportional Techniques in Input-Output Analysis: Table Updating and Structural Analysis

Author

Listed:
  • Michael Lahr

    (Rutgers University, Center for Urban Policy Research)

  • Louis de Mesnard

    (University of Burgundy, Faculty of Economics & Regional Economics Application Laboratory, University of Illinois at Urbana-Champaign)

Abstract

This paper is dedicated to the contributions of Sir Richard Stone, Michael Bacharach, and Philip Israilevich. It starts out with a brief history of biproportional techniques and related matrix balancing algorithms. We then discuss the RAS algorithm developed by Sir Richard Stone and others. We follow that by evaluating the interpretability of the product of the adjustment parameters, generally known as R and S. We then move on to discuss the various formal formulations of other biproportional approaches and discuss what defines an algorithm as “biproportional†. After mentioning a number of competing optimization algorithms that cannot fall under the rubric of being biproportional, we reflect upon how some of their features have been included into the biproportional setting (the ability to fix the value of interior cells of the matrix being adjusted and of incorporating data reliability into the algorithm). We wind up the paper by pointing out some areas that could use further investigation.

Suggested Citation

  • Michael Lahr & Louis de Mesnard, 2004. "Biproportional Techniques in Input-Output Analysis: Table Updating and Structural Analysis," GE, Growth, Math methods 0403006, EconWPA.
  • Handle: RePEc:wpa:wuwpge:0403006
    Note: Type of Document - pdf; pages: 36
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    References listed on IDEAS

    as
    1. A. Bachem & B. Korte, 1981. "Estimating matrices," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 28(1), pages 273-286, December.
    2. Bernadette Andreosso-O'Callaghan & Guoqiang Yue, 2000. "An Analysis of Structural Change in China using Biproportional Methods," Economic Systems Research, Taylor & Francis Journals, vol. 12(1), pages 99-111.
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    More about this item

    Keywords

    Input-Output Economics; RAS; data raking; iterative proportional fitting; estimating missing data;

    JEL classification:

    • D57 - Microeconomics - - General Equilibrium and Disequilibrium - - - Input-Output Tables and Analysis
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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