Abstract
In this paper, we used the Social Progress Index (SPI) and the Global Competitive Index (GCI) as main variables, in order to identify the causal relationship between social and economic variables and the impact on poverty in the world. We used a powerful and recent econometric technique: Directed Acyclic Graphs, we conclude that SPI and GCI have an important causal relationship and is the GCI and the Gini Index the main causes of poverty, from here is possible to identify efficient public policies to eradicate poverty in the world.
Conflict of Interest
The authors declare no conflict of interest.
Ethical Approval
Not applicable
Data Availability
The datasets used in this study are openly available at [repository link] and the source code is available on GitHub at [GitHub link].
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