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

Louis de Mesnard

The Annals of Regional Science, 2000, vol. 34, issue 3, 449 pages

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.

Date: 2000-09-01
Note: Received: November 1998 / Accepted: August 1999
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Working Paper: 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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