Bicausative matrices to measure structural change : are they a good tool ? - Archive ouverte HAL
Reports (Research Report) Year : 1999

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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Dates and versions

hal-01527138 , version 1 (24-05-2017)

Identifiers

  • HAL Id : hal-01527138 , version 1

Cite

Louis de Mesnard. Bicausative matrices to measure structural change : are they a good tool ?. [Research Report] Laboratoire d'analyse et de techniques économiques(LATEC). 1999, 35 p., Figure, ref. bib. : 15 ref. ⟨hal-01527138⟩
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