Artículo
Causality clubs: grouping countries with cluster causality detection
Fecha de publicación:
31/07/2025
Editorial:
Inderscience
Revista:
International Journal of Computational Economics and Econometrics
ISSN:
1757-1170
e-ISSN:
1757-1189
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
This paper explores the heterogeneity of causal structures of economic growth among countries by proposing a two-step procedure. First, we apply a causal discovery technique to uncover the underlying causal structure for each country. Second, we employ hierarchical clustering over these estimates to identify groups of similar countries in terms of their causal relationships. We obtain five 'causality clubs', each one associated with a different structure of causal determinations of the growth process. We find that the usual associations between income or geographical location and the nature of economic growth processes may not always hold true.
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Articulos(INMABB)
Articulos de INST.DE MATEMATICA BAHIA BLANCA (I)
Articulos de INST.DE MATEMATICA BAHIA BLANCA (I)
Citación
de Mier, Manuel; Delbianco, Fernando Andrés; Tohmé, Fernando Abel; Causality clubs: grouping countries with cluster causality detection; Inderscience; International Journal of Computational Economics and Econometrics; 15; 3; 31-7-2025; 294-312
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