Determinantes de acesso ao microcrédito: evidências a partir de instituição europeia
Autor(a) principal: | |
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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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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 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/10438/32387 |
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https://hdl.handle.net/10438/32387 |
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por |
language |
por |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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