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Discriminação e Classificação da Exclusão Financeira a partir da Análise de Agrupamentos e Redes Neurais

Author

Listed:
  • 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)

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.

Suggested Citation

  • José Leonardo Ribeiro Macrini & Roberto Salvador Santolin & Cinthia Rodrigues de Oliveira & Teofilo Henrique Pereira de Paula, 2019. "Discriminação e Classificação da Exclusão Financeira a partir da Análise de Agrupamentos e Redes Neurais," REOESTE - Revista de Economia do Centro-Oeste, Nepec - Curso de Ciencias Economicas da Universidade Federal de Goias - FACE, vol. 5(1), pages 2-19.
    • Handle: RePEc:ufb:rpaper:v:5:y:2019:i:1:p:2-19
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    More about this item

    Keywords

    Financial Exclusion; Classification; Neural Networks;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • G2 - Financial Economics - - Financial Institutions and Services
    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics

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