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

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Author Info
Louis de Mesnard () (LATEC , Faculty of Economics, University of Burgundy 2 Bd Gabriel, B.P. 26 611, 21066 DIJON Cedex, France)

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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.

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Publisher Info
Article provided by Springer in its journal The Annals of Regional Science.

Volume (Year): 34 (2000)
Issue (Month): 3 ()
Pages: 421-449
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Handle: RePEc:spr:anresc:v:34:y:2000:i:3:p:421-449

Note: Received: November 1998 / Accepted: August 1999
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