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

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  • Francesca Petrarca

    (Istat - Italian National Institute of Statistics)

  • Silvia Terzi

    (Roma Tre University of Rome)

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.

Suggested Citation

  • Francesca Petrarca & Silvia Terzi, 2018. "The Global Competitiveness Index: an alternative measure with endogenously derived weights," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(5), pages 2197-2219, September.
    • Handle: RePEc:spr:qualqt:v:52:y:2018:i:5:d:10.1007_s11135-017-0655-8
    DOI: 10.1007/s11135-017-0655-8
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    References listed on IDEAS

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