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Measuring economic complexity of countries and products: which metric to use?

Mariani, Manuel ; Vidmer, Alexandre ; Medo, Matsúš ; Zhang, Yi-Cheng

In: The European Physical Journal B, 2015, vol. 88, no. 11, p. 1-9

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    Titel
    • Measuring economic complexity of countries and products: which metric to use?
    Autor
    • Mariani, Manuel. Department of Physics, University of Fribourg, Chemin du Musée 3, 1700, Fribourg, Switzerland
    • Vidmer, Alexandre. Department of Physics, University of Fribourg, Chemin du Musée 3, 1700, Fribourg, Switzerland
    • Medo, Matsúš. Department of Physics, University of Fribourg, Chemin du Musée 3, 1700, Fribourg, Switzerland
    • Zhang, Yi-Cheng. Department of Physics, University of Fribourg, Chemin du Musée 3, 1700, Fribourg, Switzerland
    Dokumententyp
    • Postprint
    Sprache
    • Englisch
    Veröffentlicht in
    • The European Physical Journal B, 2015, vol. 88, no. 11, p. 1-9. Springer Berlin Heidelberg
    Andere elektronische Ausgabe
    OAI-PMH-ID
    • oai:doc.rero.ch:331712
    Summary
    Evaluating the economies of countries and their relations with products in the global market is a central problem in economics, with far-reaching implications to our theoretical understanding of the international trade as well as to practical applications, such as policy making and financial investment planning. The recent Economic Complexity approach aims to quantify the competitiveness of countries and the quality of the exported products based on the empirical observation that the most competitive countries have diversified exports, whereas developing countries only export few low quality products - typically those exported by many other countries. Two different metrics, Fitness-Complexity and the Method of Reflections, have been proposed to measure country and product score in the Economic Complexity framework. We use international trade data and a recent ranking evaluation measure to quantitatively compare the ability of the two metrics to rank countries and products according to their importance in the network. The results show that the Fitness-Complexity metric outperforms the Method of Reflections in both the ranking of products and the ranking of countries. We also investigate a generalization of the Fitness-Complexity metric and show that it can produce improved rankings provided that the input data are reliable.