There is nothing so bad that it can not work: a Bayesian analysis of poverty

• Autor(a) principal: Costa, Rodolfo Ferreira Ribeiro da
• Data de Publicação: 2020
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Redes (Santa Cruz do Sul. Online)
• Texto Completo: https://online.unisc.br/seer/index.php/redes/article/view/12685
• topic: Pobreza. Rede Bayesiana. Municípios.; Poverty. Network Bayesian. Municipals.; La pobreza. Red Bayesiana. Municipios.

This article aims to understand the relationships between different forms of poverty and, thus, to verify if a specific type of deprivation inhibits the individual's ability to overcome other forms of deprivation. An approach used to understand the mechanisms that govern how the relations between the levels of poverty refer to the Bayesian network. The data used refer to information on income, health, education and housing for 5,565 Brazilian municipalities between 1970 and 2010, being a source of information provided by the Brazilian Institute of Geography and Statistics. The results highlighted the existence of relations between the analyzed aspects of poverty. Direct influences of all deprivations on health conditions were observed, indicating that precarious health conditions usually arise in environments where other types of diseases arise. The education indicator reflects information on monetary deprivation, and this relationship is positive. Finally, monetary shortages are also responsible for limiting access to decent housing and a healthier living condition.