2017
DOI: 10.2139/ssrn.3075591
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A New Interpretation of the Economic Complexity Index

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Cited by 19 publications
(17 citation statements)
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“…In fact, as Mealy et al (2018) have very recently noted, the method of reflections belongs in the family of spectral clustering algorithms for partitioning similarity matrices, and can therefore be thought of as a complement to recently proposed methods to study the structure of cultural choices that exploit relational information embedded in survey responses. These include relational class analysis (Goldberg, 2011), correlational class analysis (Boutyline, 2017), and belief-network analysis (Boutyline and Vaisey, 2017) among others.…”
Section: Methods Of Reflections In Relation To Other Partitioning Apprmentioning
confidence: 99%
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“…In fact, as Mealy et al (2018) have very recently noted, the method of reflections belongs in the family of spectral clustering algorithms for partitioning similarity matrices, and can therefore be thought of as a complement to recently proposed methods to study the structure of cultural choices that exploit relational information embedded in survey responses. These include relational class analysis (Goldberg, 2011), correlational class analysis (Boutyline, 2017), and belief-network analysis (Boutyline and Vaisey, 2017) among others.…”
Section: Methods Of Reflections In Relation To Other Partitioning Apprmentioning
confidence: 99%
“…As a result, the eigenvector rank will be strongly dependent on the first order centrality of both people (omnivorousness) and genres (popularity), while the reflective equilibrium rank can be shown to be orthogonal to, although typically correlated with, the first order centralities of each mode. In this respect, the eigenvector centrality score does not add much information beyond first order omnivorousness and popularity with the correlation between these two quantities being to 1.0, while the correlation between eigenvector and the equilibrium reflective centrality rank between much lower (see Mealy et al, 2018, , Figure 2). 4 As such, reflective centrality is picking up something different from the eigenvector idea both conceptually and empirically.…”
Section: Reflective and Eigenvector Centralitiesmentioning
confidence: 98%
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“…Notice, however, that the rows ofM sum to one (which also means that a vector of all ones is an eigenvector ofM and it is associated with the largest eigenvalue ofM) and so, the vector associated to the second largest eigenvalue ofM is taken as the industry complexity (C i ). For more details on the calculation and interpretation of the industry complexity see Hausmann et al (2014c) and Mealy et al (2018).…”
Section: Conclusion and Policy Implicationsmentioning
confidence: 99%
“…Thus, the ECI builds upon productive diversification 3 and capabilities. As discussed by Mealy et al (2018) There is ample evidence on the relationship between diversification and economic growth, especially for less developed countries (Cherif, et al, 2018;Al-Marhubi, 2000;Herzer and Nowak-Lehnmann, 2006 countries are competitive in. Furthermore, the ECI provides a rank ordering of countries in terms of how similar their exports and capabilities are to each other and this ordering helps to explain variations in GDP per capita and future growth (Hidalgo and Hausmann, 2009).…”
mentioning
confidence: 99%