The Global Competitiveness Index: an alternative measure with endogenously derived weights

Francesca Petrarca () and Silvia Terzi
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Francesca Petrarca: Istat - Italian National Institute of Statistics

Quality & Quantity: International Journal of Methodology, 2018, vol. 52, issue 5, No 15, 2197-2219

Abstract: Abstract We present an alternative method to compute the Global Competitiveness Index (GCI) by means of a partial least squares path model. In particular, making use of the same set of variables defined by the World Economic Forum we compute the composite indicator GCI by means of a structural equations model with endogenously derived weights. World Economic Forum, instead, defines GCI as a combinations of subindexes with weights that are fixed but vary according to the stage of development a country belongs to. The main issue we address is whether the weights of the subindexes change according to different stages of development.

Keywords: Global Competitiveness Index; PLS-PM; Structural equations model; Multi-group comparison; Hierarchical component model (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s11135-017-0655-8

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