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

Louis de Mesnard

Working Papers from HAL

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.

Keywords: economics; economic theory; humanities social sciences; sciences humaines et sociales (search for similar items in EconPapers)
Date: 1999
Note: View the original document on HAL open archive server: https://hal.science/hal-01527138v1
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Published in [Research Report] Laboratoire d'analyse et de techniques économiques(LATEC). 1999, 35 p., Figure, ref. bib. : 15 ref

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Journal Article: 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? (2000)
Working Paper: Bicausative matrices to measure structural change: are they a good tool? (1999)
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