Causality clubs: grouping countries with cluster causality detection

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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Publication Details

Journal
International Journal of Computational Economics and Econometrics
Published
2025-01-01
DOI
https://doi.org/10.1504/ijcee.2025.147779
Primary Topic
History and advancements in chemistry
Type
article
Field-Weighted Citation Impact
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article

Causality clubs: grouping countries with cluster causality detection

Fernando Delbianco, Fernando Tohmé, Douglas G. Manuel, e Mier
International Journal of Computational Economics and Econometrics
History and advancements in chemistry
article

Causality clubs: grouping countries with cluster causality detection

Fernando Delbianco, Fernando Tohmé, Douglas G. Manuel, e Mier
article en

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.

International Journal of Computational Economics and EconometricsVol. 15(3)
Universidad Nacional del Sur (AR)
Openalex Percentile: Top 82%
History and advancements in chemistry
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