caa a22 4500 475838653 CHVBK 20180406123855.0 cr unu---uuuuu 170329e20000901xx s 000 0 eng 10.1007/s001680000023 doi (NATIONALLICENCE)springer-10.1007/s001680000023 de Mesnard Louis LATEC (UMR CNRS 5601), Faculty of Economics, University of Burgundy 2 Bd Gabriel, B.P. 26 611, 21066 DIJON Cedex, France (e-mail: louis.de-mesnard@u-bourgogne.fr), FR aut Bicausative matrices to measure structural change: Are they a good tool? [Elektronische Daten] [Louis de Mesnard] 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. Springer-Verlag Berlin Heidelberg, 2000 https://doi.org/10.1007/s001680000023 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s001680000023 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- de Mesnard Louis LATEC (UMR CNRS 5601), Faculty of Economics, University of Burgundy 2 Bd Gabriel, B.P. 26 611, 21066 DIJON Cedex, France (e-mail: louis.de-mesnard@u-bourgogne.fr), FR aut Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer