Discriminação e Classificação da Exclusão Financeira a partir da Análise de Agrupamentos e Redes Neurais
José Leonardo Ribeiro Macrini (),
Roberto Salvador Santolin (),
Cinthia Rodrigues de Oliveira () and
Teofilo Henrique Pereira de Paula ()
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José Leonardo Ribeiro Macrini: Universidade Federal Rural do Rio de Janeiro – ITR/UFRRJ
Roberto Salvador Santolin: Universidade Federal Rural do Rio de Janeiro – ITR/UFRRJ
Cinthia Rodrigues de Oliveira: Universidade Federal Fluminense – UFF
Teofilo Henrique Pereira de Paula: Universidade Federal Rural do Rio de Janeiro – ITR/UFRRJ
REOESTE - Revista de Economia do Centro-Oeste, 2019, vol. 5, issue 1, 2-19
Abstract:
Identifying the limit between financially excluded and non-excluded is not an easy task, since the object tends to be diffuse and subjective. This study aims to propose a methodology, based on Cluster Analysis and Neural Networks, for the referred delimitation. It makes use of a field research carried out in the municipality of Três Rios (Brazil). It is expected that this research may contribute to the design and execution of policies aimed at promoting the financial inclusion and bancarization.
Keywords: Financial Exclusion; Classification; Neural Networks (search for similar items in EconPapers)
JEL-codes: C1 G2 R1 (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:ufb:rpaper:v:5:y:2019:i:1:p:2-19
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