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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
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