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COMPLEXITY: A Generalized Approach in Stata for Specialization Complexity Indices

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  • Charlie Joyez

    (Université Côte d'Azur, CNRS, GREDEG, France)

Abstract

We introduce complexity, a Stata command available on SSC that computes generalized complexity indices for specialization matrices. Originally developed for assessing economic complexity with global trade data (Hidalgo and Hausmann, 2009), these metrics have since been extended to various domains including regional development, innovation, and labor economics. The complexity command implements three core methodologies: the eigenvector method (Hausmann et al., 2011a), the Method of Reflection (Hidalgo and Hausmann, 2009), and the fitness-complexity approach (Tacchella et al., 2012). It also computes relatedness metrics such as coherence, adjacency matrices of the activity space network, and the complexity outlook as a measure of complexity potential. We describe the syntax and options, review the underlying algorithms, and provide applied examples

Suggested Citation

  • Charlie Joyez, 2025. "COMPLEXITY: A Generalized Approach in Stata for Specialization Complexity Indices," GREDEG Working Papers 2025-50, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    • Handle: RePEc:gre:wpaper:2025-50
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    References listed on IDEAS

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    2. repec:osf:socarx:2gw9c_v1 is not listed on IDEAS
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