Sectoral Structure and Economic Growth

Emilian Dobrescu ()

Working Papers of Macroeconomic Modelling Seminar from Institute for Economic Forecasting

Abstract: The main goal of the present work is to reveal the advantages of introducing the so-called structural coefficient (SC) in economic analysis. SC is defined as an indicator of the similarity between a given sectoral structure and another, which is admitted as a referential. Consequently, the paper is organized as follows. The first chapter is consecrated to computational formulas applicable for the estimation of such a measure. Ten possible algorithms are examined and five are retained as adequate for empirical investigations. The second chapter discusses, using WB Statistics for the World Economy, two important questions concerning the structural coefficient (SC): “Is SC an authentic “numeraire”? and “Can SC be rather considered as an “attractor”?”. The paper inclines towards the second supposition. In the third chapter, the famous binomial “sectoral structure-economic growth”, comments based on analytical valences of the structural coefficient (SC) are provided. With this aim, the Toda–Yamamoto version of Granger causality test is applied. Several conclusions and further research lines end the paper. The necessary statistical appendices and references are included.

Keywords: structure; structural coefficient; economic growth; Granger causality test (search for similar items in EconPapers)
JEL-codes: C13 Q10 Q41 (search for similar items in EconPapers)
Pages: 34 pages
Date: 2011-06
New Economics Papers: this item is included in nep-fdg
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

Downloads: (external link)
http://www.ipe.ro/RePEc/WorkingPapers/cs24.pdf (application/pdf)

Related works:
Journal Article: Sectoral Structure and Economic Growth (2011)
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:rjr:wpmems:112401

Access Statistics for this paper

More papers in Working Papers of Macroeconomic Modelling Seminar from Institute for Economic Forecasting Contact information at EDIRC.
Bibliographic data for series maintained by Corina Saman ( this e-mail address is bad, please contact ).