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

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.
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https://hal.archives-ouvertes.fr/hal-00383932
Contributor : Louis de Mesnard <>
Submitted on : Wednesday, May 13, 2009 - 9:15:15 PM
Last modification on : Friday, June 8, 2018 - 2:50:08 PM

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  • HAL Id : hal-00383932, version 1

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Louis de Mesnard. Bicausative matrices to measure structural change: Are they a good tool?. Annals of Regional Science, Springer Verlag (Germany), 2000, 34 (3), pp.421-449. ⟨hal-00383932⟩

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