Bicausative matrices to measure structural change: Are they a good tool?

Louis de Mesnard

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Abstract: The causative-matrix method to analyze temporal change assumes that a matrix transforms one Markovian transition matrix into another by a left multiplication of the first matrix; the method is demand-driven when applied to input-output economics. An extension is presented without assuming the demand-driven or supply-driven hypothesis. Starting from two flow matrices X and Y, two diagonal matrices are searched, one premultiplying and the second postmultiplying X, to obtain a result the closer as possible to Y by least squares. The paper proves that the method is deceptive because the diagonal matrices are unidentified and the interpretation of results is unclear.

Keywords: Bicausative; Causative; Structural Change; Chaos; Biproportion (search for similar items in EconPapers)
Date: 2000
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Citations: View citations in EconPapers (2)

Published in Annals of Regional Science, 2000, 34 (3), pp.421-449

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Journal Article: Bicausative matrices to measure structural change: Are they a good tool? (2000)
Working Paper: Bicausative matrices to measure structural change: are they a good tool ? (1999)
Working Paper: Bicausative matrices to measure structural change: are they a good tool? (1999)
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