On boolean topological methods of structural analysis
Louis de Mesnard
Working Papers from HAL
Abstract:
The properties of Boolean methods of structural analysis are used to analyze the intern structure of linear or non linear models. Here they are studied on the particular example of qualitative methods of input-output analysis. First, it is shown that these methods generate informational problems like biases when working in money terms instead of percentages, losses of information, increasing of computation time, and so on. Second, considering three ways to do structural analysis, analysis from the inverse matrix, from the direct matrix and from layers (intermediate flow matrices), these methods induce topological problems; the adjacency of the adjacency cannot be defined from the inverse matrix; the binary relation of influence may be non transitive from the direct matrix, with poorer results than with quantitative methods; for layers - based methods, the information carried out by layers is trivial.
Keywords: economics; economic theory; management; MFA; management economics; gestion; économie (search for similar items in EconPapers)
Date: 1998
Note: View the original document on HAL open archive server: https://hal.science/hal-01527137v1
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Published in [Research Report] Laboratoire d'analyse et de techniques économiques(LATEC). 1998, 22 p., ref. bib. : 3 p
Downloads: (external link)
https://hal.science/hal-01527137v1/document (application/pdf)
Related works:
Working Paper: On Boolean topological methods of structural analysis (2001)
Working Paper: On boolean topological methods of structural analysis (1998)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hal:wpaper:hal-01527137
Access Statistics for this paper
More papers in Working Papers from HAL
Bibliographic data for series maintained by CCSD ().