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An Investigation of Industry Associations, Association Loops and Economic Complexity: Application to Canada and the United States

Chokri Dridi and Geoffrey Hewings

Economic Systems Research, 2002, vol. 14, issue 3, 275-296

Abstract: Various methods were proposed to understand the linkages in an input-output system; however, many have focused only on the identification of key sectors in the economy. An alternative approach, identifying analytically the importance of elements and combinations of elements was proposed as a field of influence theory (Sonis et al. , 1996). The purpose of this paper is to offer a complementary approach to the field of influence and the so-called 'Matrioshka principal' (Sonis & Hewings, 1990); the objectives are to identify simple row-column associations (i.e. statistical dependence), seek hierarchical associations between supply and demand in input-output systems and the decomposition of economic complexity into finite stages. For the identification of simple dependencies between rows and columns, we use a log-linear regression and for hierarchical associations and the identification of complexity stages, we use the data analysis technique known as dual scaling. Results of both approaches will be applied to input-output tables of the US and Canada.

Keywords: Dual Scaling; Industry Associations; Loops; Economic Complexity (search for similar items in EconPapers)
Date: 2002
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Citations: View citations in EconPapers (7)

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Working Paper: An Investigation of Industry Associations, Association Loops, and Economic Complexity: Application to Canada and the United States (2005) Downloads
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DOI: 10.1080/0953531022000002512

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