The Principal Components Approach To Quota Formulation At The Imf
This paper explores and supports the use of the principal components analysis to objectively establish countries’ relative economic size and determine variables’ weights in a new IMF quota formula. This approach shows a rebalancing of quotas shares in favor of developing countries over time but suggests that PCA-generated quota formulas can only guide and not determine IMF quota structure. The simulation of ad hoc quota increases using PCA-generated quota formulas indicates that a rebalancing of actual quota shares and voting power in favor of developing countries, while preserving low-income countries voting share, is achievable if advanced economies forego increases in their quotas and total basic votes are at least tripled.
|Date of creation:||10 Mar 2008|
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- Dejian Lai, 2000. "Temporal Analysis of Human Development Indicators: Principal Component Approach," Social Indicators Research, Springer, vol. 51(3), pages 331-366, September.
- François Combarnous, 2003. "Le développement de l'humain comme préalable au développement économique : l'apport de l'analyse en composantes principales," Documents de travail 84, Groupe d'Economie du Développement de l'Université Montesquieu Bordeaux IV.
- Abbas Mirakhor & Iqbal Mehdi Zaidi, 2006. "Rethinking the Governance of the International Monetary Fund," IMF Working Papers 06/273, International Monetary Fund.
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