Causality between corruption and poverty: An analysis for South American countries

Denilson Oliveira da Silva; Lilian Lopes Ribeiro; Roberto Tatiwa Ferreira; Edward Martins Costa; Pablo Urano de Carvalho Castelar

doi:10.52292/j.estudecon.2022.2818

Autores/as

Denilson Oliveira da Silva Universidade Federal do Ceará, Brasil https://orcid.org/0000-0002-2572-8490
Lilian Lopes Ribeiro Universidade Federal do Ceará, Brasil https://orcid.org/0000-0001-5800-6032
Roberto Tatiwa Ferreira Universidade Federal do Ceará, Brasil https://orcid.org/0000-0002-2529-686X
Edward Martins Costa Universidade Federal do Ceará, Brasil https://orcid.org/0000-0002-9187-8534
Pablo Urano de Carvalho Castelar Universidade Federal do Ceará, Brasil https://orcid.org/0000-0001-9990-7873

DOI:

https://doi.org/10.52292/j.estudecon.2022.2818

Palabras clave:

Corruption, Poverty, Causality, Absolute poverty

Resumen

This work aimed to analyze the causality between corruption and poverty in Brazil and a group of seven other South American countries, from 2002 to 2018, using the methodology applied by Dumitrescu and Hurlin (2012) for heterogeneous panels. The variables for corruption employed are the Corruption Perception Index (CPI) and the Control of Corruption (CC) index and, as measures of poverty, the indexes proposed by Foster, Greer, and Thorbecke (1984), considering the poverty and extreme poverty lines. Results suggest one-directional CC causality for all measures of the poverty line, as well as for the P2 indicator of extreme poverty.

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