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dc.contributor.author
de Mier, Manuel  
dc.contributor.author
Delbianco, Fernando Andrés  
dc.contributor.author
Tohmé, Fernando Abel  
dc.date.available
2025-10-15T15:41:41Z  
dc.date.issued
2025-07-31  
dc.identifier.citation
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  
dc.identifier.issn
1757-1170  
dc.identifier.uri
http://hdl.handle.net/11336/273542  
dc.description.abstract
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.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Inderscience  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
CAUSALITY CLUBS  
dc.subject
CLUSTER CAUSALITY DETECTION  
dc.subject
CAUSAL STRUCTURE  
dc.subject
HETEROGENEITY  
dc.subject
ECONOMIC GROWTH  
dc.subject.classification
Economía, Econometría  
dc.subject.classification
Economía y Negocios  
dc.subject.classification
CIENCIAS SOCIALES  
dc.title
Causality clubs: grouping countries with cluster causality detection  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2025-09-11T12:49:35Z  
dc.identifier.eissn
1757-1189  
dc.journal.volume
15  
dc.journal.number
3  
dc.journal.pagination
294-312  
dc.journal.pais
Suiza  
dc.description.fil
Fil: de Mier, Manuel. Universidad Torcuato Di Tella; Argentina  
dc.description.fil
Fil: Delbianco, Fernando Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Economía; Argentina  
dc.description.fil
Fil: Tohmé, Fernando Abel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Economía; Argentina  
dc.journal.title
International Journal of Computational Economics and Econometrics  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.inderscience.com/info/inarticle.php?artid=147779  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1504/IJCEE.2025.147779