Bicausative matrices to measure structural change: Are they a good tool? - Archive ouverte HAL
Article Dans Une Revue Annals of Regional Science Année : 2000

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

Louis de Mesnard

Résumé

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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Dates et versions

hal-00383932 , version 1 (13-05-2009)

Identifiants

  • HAL Id : hal-00383932 , version 1

Citer

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