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Analyzing structural change: the biproportional mean filter and the biproportional bimarkovian filter

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  • MESNARD, Louis de

    (LATEC - CNRS UMR 5601 - Université de Bourgogne)

Abstract

The biproportional filter was created to analyze structural change between two input-output matrices by removing the effect of differential growth of sectors without predetermining if the model is demand or supply-driven, but with the disadvantage that projecting a first matrix on a second is not the same thing than projecting the second matrix on the first. Here two alternative methods are proposed which has not this last drawback, with the additional advantage for the biproportional bimarkovian filter that effects of sector size are also removed. Methods are compared with an application for France for 1980 and 1996.

Suggested Citation

  • MESNARD, Louis de, 1998. "Analyzing structural change: the biproportional mean filter and the biproportional bimarkovian filter," LATEC - Document de travail - Economie (1991-2003) 9805, LATEC, Laboratoire d'Analyse et des Techniques EConomiques, CNRS UMR 5118, Université de Bourgogne.
  • Handle: RePEc:lat:lateco:1998-05
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    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • D57 - Microeconomics - - General Equilibrium and Disequilibrium - - - Input-Output Tables and Analysis

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