COMPLEXITY: A Generalized Approach in Stata for Specialization Complexity Indices

Charlie Joyez

No 2025-50, GREDEG Working Papers from Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, 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

Pages: 21 pages
Date: 2025-12
References: Add references at CitEc
Citations:

Downloads: (external link)
http://195.220.190.85/GREDEG-WP-2025-50.pdf First version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gre:wpaper:2025-50

Access Statistics for this paper

More papers in GREDEG Working Papers from Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France Contact information at EDIRC.
Bibliographic data for series maintained by Patrice Bougette ().