Determinantes de acesso ao microcrédito: evidências a partir de instituição europeia

Detalhes bibliográficos
Autor(a) principal: Fernandes, Andre Cesar
Data de Publicação: 2022
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Repositório Institucional do FGV (FGV Repositório Digital)
Texto Completo: https://hdl.handle.net/10438/32387
Resumo: The present article aims to examine the determinants of granting credit using as data source the loan requests addressed to the European microfinance institution located in Belgium in the period from 2011 to 2020. To this end, data from applicant’s profile were studied, as well as the gender and experience of those responsible for evaluating the credit application. In order to verify the effect of these variables on the probability of approval of the application, statistical modeling was used as an instrument through logistic regression. The results found indicate that, in the specific case of the database used, the odds of loan approval from the institution is significantly influenced by variables related to credit history and credit score, professional situation, sector of activity, and country of birth of the client, as well as the gender of the loan officer responsible for evaluating the customer’s dossier. On the other hand, it was observed that the applicant’s gender and number of dependents do not influence the probability of credit approval.
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spelling Fernandes, Andre CesarEscolas::EAESPMartins, Henrique CastroKhatib, AhmedMotta, Victor Eduardo da2022-08-23T14:58:48Z2022-08-23T14:58:48Z2022https://hdl.handle.net/10438/32387The present article aims to examine the determinants of granting credit using as data source the loan requests addressed to the European microfinance institution located in Belgium in the period from 2011 to 2020. To this end, data from applicant’s profile were studied, as well as the gender and experience of those responsible for evaluating the credit application. In order to verify the effect of these variables on the probability of approval of the application, statistical modeling was used as an instrument through logistic regression. The results found indicate that, in the specific case of the database used, the odds of loan approval from the institution is significantly influenced by variables related to credit history and credit score, professional situation, sector of activity, and country of birth of the client, as well as the gender of the loan officer responsible for evaluating the customer’s dossier. On the other hand, it was observed that the applicant’s gender and number of dependents do not influence the probability of credit approval.O presente Trabalho Aplicado tem como objetivo examinar os determinantes de concessão ao crédito utilizando-se como fonte de dados as solicitações de empréstimo endereçadas à instituição de microcrédito europeia localizada na Bélgica no período de 2011 a 2020. Para tanto, foram estudadas variáveis cadastrais dos aplicantes, bem como o gênero e a experiência dos agentes responsáveis pela avaliação do pedido de crédito. Para verificar o efeito dessas variáveis sobre a probabilidade de aprovação do pleito, utilizou-se como instrumento modelagem estatística por meio de regressão logística. Os resultados encontrados apontam que, no caso específico da base de dados utilizada, a chance de aprovação do empréstimo junto a instituição sofre influência significativa das variáveis relacionadas ao histórico e score de crédito, a situação profissional, o setor de atividade e o país de nascimento do cliente, assim como o gênero do agente de crédito responsável pela avaliação do dossiê dos clientes. Por outro lado, observou-se que as variáveis de gênero do aplicante e número de dependentes não exercem influência na probabilidade de aprovação do crédito.porMicrofinanceCreditLogistic regressionMicro entrepreneurshipMicrocréditoCréditoRegressão logísticaMicro empreendedorismoAdministração de empresasMicrofinançasCréditosAnálise de créditoAnálise de regressão logísticaDeterminantes de acesso ao microcrédito: evidências a partir de instituição europeiainfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional do FGV (FGV Repositório Digital)instname:Fundação Getulio Vargas (FGV)instacron:FGVORIGINALTA_AndreFernandes_II.pdfTA_AndreFernandes_II.pdfPDFapplication/pdf1019022https://repositorio.fgv.br/bitstreams/81bf949f-991a-4a17-b37f-3c9e0823c1e1/downloadf4698d51c6561c81e2ef28be846af8c0MD53LICENSElicense.txtlicense.txttext/plain; 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dc.title.por.fl_str_mv Determinantes de acesso ao microcrédito: evidências a partir de instituição europeia
title Determinantes de acesso ao microcrédito: evidências a partir de instituição europeia
spellingShingle Determinantes de acesso ao microcrédito: evidências a partir de instituição europeia
Fernandes, Andre Cesar
Microfinance
Credit
Logistic regression
Micro entrepreneurship
Microcrédito
Crédito
Regressão logística
Micro empreendedorismo
Administração de empresas
Microfinanças
Créditos
Análise de crédito
Análise de regressão logística
title_short Determinantes de acesso ao microcrédito: evidências a partir de instituição europeia
title_full Determinantes de acesso ao microcrédito: evidências a partir de instituição europeia
title_fullStr Determinantes de acesso ao microcrédito: evidências a partir de instituição europeia
title_full_unstemmed Determinantes de acesso ao microcrédito: evidências a partir de instituição europeia
title_sort Determinantes de acesso ao microcrédito: evidências a partir de instituição europeia
author Fernandes, Andre Cesar
author_facet Fernandes, Andre Cesar
author_role author
dc.contributor.unidadefgv.por.fl_str_mv Escolas::EAESP
dc.contributor.member.none.fl_str_mv Martins, Henrique Castro
Khatib, Ahmed
dc.contributor.author.fl_str_mv Fernandes, Andre Cesar
dc.contributor.advisor1.fl_str_mv Motta, Victor Eduardo da
contributor_str_mv Motta, Victor Eduardo da
dc.subject.eng.fl_str_mv Microfinance
Credit
Logistic regression
Micro entrepreneurship
topic Microfinance
Credit
Logistic regression
Micro entrepreneurship
Microcrédito
Crédito
Regressão logística
Micro empreendedorismo
Administração de empresas
Microfinanças
Créditos
Análise de crédito
Análise de regressão logística
dc.subject.por.fl_str_mv Microcrédito
Crédito
Regressão logística
Micro empreendedorismo
dc.subject.area.por.fl_str_mv Administração de empresas
dc.subject.bibliodata.por.fl_str_mv Microfinanças
Créditos
Análise de crédito
Análise de regressão logística
description The present article aims to examine the determinants of granting credit using as data source the loan requests addressed to the European microfinance institution located in Belgium in the period from 2011 to 2020. To this end, data from applicant’s profile were studied, as well as the gender and experience of those responsible for evaluating the credit application. In order to verify the effect of these variables on the probability of approval of the application, statistical modeling was used as an instrument through logistic regression. The results found indicate that, in the specific case of the database used, the odds of loan approval from the institution is significantly influenced by variables related to credit history and credit score, professional situation, sector of activity, and country of birth of the client, as well as the gender of the loan officer responsible for evaluating the customer’s dossier. On the other hand, it was observed that the applicant’s gender and number of dependents do not influence the probability of credit approval.
publishDate 2022
dc.date.accessioned.fl_str_mv 2022-08-23T14:58:48Z
dc.date.available.fl_str_mv 2022-08-23T14:58:48Z
dc.date.issued.fl_str_mv 2022
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