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Economic complexity unfolded: Interpretable model for the productive structure of economies

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  • Zoran Utkovski
  • Melanie F Pradier
  • Viktor Stojkoski
  • Fernando Perez-Cruz
  • Ljupco Kocarev

Abstract

Economic complexity reflects the amount of knowledge that is embedded in the productive structure of an economy. It resides on the premise of hidden capabilities—fundamental endowments underlying the productive structure. In general, measuring the capabilities behind economic complexity directly is difficult, and indirect measures have been suggested which exploit the fact that the presence of the capabilities is expressed in a country’s mix of products. We complement these studies by introducing a probabilistic framework which leverages Bayesian non-parametric techniques to extract the dominant features behind the comparative advantage in exported products. Based on economic evidence and trade data, we place a restricted Indian Buffet Process on the distribution of countries’ capability endowment, appealing to a culinary metaphor to model the process of capability acquisition. The approach comes with a unique level of interpretability, as it produces a concise and economically plausible description of the instantiated capabilities.

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  • Zoran Utkovski & Melanie F Pradier & Viktor Stojkoski & Fernando Perez-Cruz & Ljupco Kocarev, 2018. "Economic complexity unfolded: Interpretable model for the productive structure of economies," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-24, August.
  • Handle: RePEc:plo:pone00:0200822
    DOI: 10.1371/journal.pone.0200822
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    2. Inga Ivanova & Øivind Strand & Loet Leydesdorff, 2019. "An Eco-Systems Approach To Constructing Economic Complexity Measures: Endogenization Of The Technological Dimension Using Lotka–Volterra Equations," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 22(01), pages 1-21, February.
    3. Yimin Chen & Yulin Liu & Xin Fang, 2021. "The new evidence of China’s economic downturn: From structural bonus to structural imbalance," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-25, September.
    4. Olivera Kostoska & Sonja Mitikj & Petar Jovanovski & Ljupco Kocarev, 2020. "Core-periphery structure in sectoral international trade networks: A new approach to an old theory," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-24, April.
    5. Abhijit Chakraborty & Hiroyasu Inoue & Yoshi Fujiwara, 2020. "Economic complexity of prefectures in Japan," Papers 2002.05785, arXiv.org, revised Aug 2020.
    6. Mercedes Campi & Marco Dueñas & Tommaso Ciarli, 2024. "Do creative industries enhance employment growth? Regional evidence from Colombia," Regional Studies, Taylor & Francis Journals, vol. 58(3), pages 425-441, March.
    7. Emilie Le Caous & Fenghueih Huarng, 2020. "Economic Complexity and the Mediating Effects of Income Inequality: Reaching Sustainable Development in Developing Countries," Sustainability, MDPI, vol. 12(5), pages 1-26, March.
    8. Li, Zhiyuan & Doğan, Buhari & Ghosh, Sudeshna & Chen, Wei-Ming & Lorente, Daniel Balsalobre, 2024. "Economic complexity, natural resources and economic progress in the era of sustainable development: Findings in the context of resource deployment challenges," Resources Policy, Elsevier, vol. 88(C).
    9. Emilie Sophie Le Caous & Fenghueih Huarng, 2021. "Economic Complexity and Human Development: Moderated by Logistics and International Migration," Sustainability, MDPI, vol. 13(4), pages 1-23, February.

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