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A new and stable estimation method of country economic fitness and product complexity

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Listed:
  • Vito D. P. Servedio
  • Paolo Butt`a
  • Dario Mazzilli
  • Andrea Tacchella
  • Luciano Pietronero

Abstract

We present a new metric estimating fitness of countries and complexity of products by exploiting a non-linear non-homogeneous map applied to the publicly available information on the goods exported by a country. The non homogeneous terms guarantee both convergence and stability. After a suitable rescaling of the relevant quantities, the non homogeneous terms are eventually set to zero so that this new metric is parameter free. This new map almost reproduces the results of the original homogeneous metrics already defined in literature and allows for an approximate analytic solution in case of actual binarized matrices based on the Revealed Comparative Advantage (RCA) indicator. This solution is connected with a new quantity describing the neighborhood of nodes in bipartite graphs, representing in this work the relations between countries and exported products. Moreover, we define the new indicator of country net-efficiency quantifying how a country efficiently invests in capabilities able to generate innovative complex high quality products. Eventually, we demonstrate analytically the local convergence of the algorithm involved.

Suggested Citation

  • Vito D. P. Servedio & Paolo Butt`a & Dario Mazzilli & Andrea Tacchella & Luciano Pietronero, 2018. "A new and stable estimation method of country economic fitness and product complexity," Papers 1807.10276, arXiv.org, revised Oct 2018.
    • Handle: RePEc:arx:papers:1807.10276
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    File URL: http://arxiv.org/pdf/1807.10276
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    References listed on IDEAS

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    1. Cesar A. Hidalgo & Ricardo Hausmann, 2009. "The Building Blocks of Economic Complexity," Papers 0909.3890, arXiv.org.
    2. Fabio Saracco & Riccardo Di Clemente & Andrea Gabrielli & Tiziano Squartini, 2015. "Detecting early signs of the 2007-2008 crisis in the world trade," Papers 1508.03533, arXiv.org, revised Jul 2016.
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    Cited by:

    1. Gianluca Teza & Michele Caraglio & Attilio L. Stella, 2021. "Entropic measure unveils country competitiveness and product specialization in the World trade web," Papers 2106.01936, arXiv.org.
    2. Dario Mazzilli & Manuel Sebastian Mariani & Flaviano Morone & Aurelio Patelli, 2022. "Equivalence between the Fitness-Complexity and the Sinkhorn-Knopp algorithms," Papers 2212.12356, arXiv.org, revised Mar 2024.
    3. Ibrahim Tuğrul Çınar & Ilhan Korkmaz & Tüzin Baycan, 2022. "Regions’ economic fitness and sectoral labor productivity: Evidence from Turkey," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(3), pages 575-598, June.
    4. Ulrich Schetter, 2019. "A Structural Ranking of Economic Complexity," CID Working Papers 119a, Center for International Development at Harvard University.
    5. Matteo Bruno & Dario Mazzilli & Aurelio Patelli & Tiziano Squartini & Fabio Saracco, 2023. "Inferring comparative advantage via entropy maximization," Papers 2304.12245, arXiv.org.
    6. Filippo Bontadini & Mercedes Campi & Marco Due~nas, 2023. "Being at the core: firm product specialisation," Papers 2302.02767, arXiv.org, revised Mar 2023.
    7. Filippo Bontadini & Mercedes Campi & Marco Due~nas, 2023. "Being at the core: firm product specialisation," Papers 2302.02767, arXiv.org, revised Mar 2023.
    8. Ben Saad, Myriam & Brahim, Mariem & Schaffar, Alexandra & Guesmi, Khaled & Ben Saad, Rym, 2023. "Economic complexity, diversification and economic development: The strategic factors," Research in International Business and Finance, Elsevier, vol. 64(C).
    9. Song, Pengcheng & Wang, Pang Paul & Zhang, Baozhen & Zhang, Xuan & Zong, Xiangyu, 2021. "Complexity economic indexes for the energy market: Evidence during extreme global changes," Energy Economics, Elsevier, vol. 96(C).

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