Credit borrowing constraints in a DSGE framework: income vs. housing

Detalhes bibliográficos
Autor(a) principal: Lima, Daniela Cunha de
Data de Publicação: 2014
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Institucional do FGV (FGV Repositório Digital)
Texto Completo: http://hdl.handle.net/10438/11637
Resumo: Credit market in Brazil distinguishes from advanced economies in many aspects. One of them is related to collaterals for households borrowing. This work proposes a DSGE framework, based on Gerali et al.(2010), to analyse one pecularity of Brazillian credit market: payroll-deducted personal loans. To original model, we added the possibility to households contract long term debt and compare to differents types of credit constrains: one based on housing and other based on future income. We callibrate and estimate the model to Brazil, using Bayesian technique. Results show that, in a economy where credit constraints are based on income, responses to shocks appear to be stronger, at first, but dissipate faster. This occurs because income responds quickly to shock than housing prices, so does amount available to loans. In order to smooth consumption, agents compensate lower income and borrowing by increasing working hours, restoring loans and debt in a shorter time.
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spelling Lima, Daniela Cunha deEscolas::EESPGuimarães, Bernardo de VasconcellosOliveira, Ricardo Dias deTeles, Vladimir Kuhl2014-04-15T15:54:35Z2014-04-15T15:54:35Z2014-03-11LIMA, Daniela Cunha de. Credit borrowing constraints in a DSGE framework: income vs. housing. Dissertação (Mestrado em Economia de Empresas) - FGV - Fundação Getúlio Vargas, São Paulo, 2014.http://hdl.handle.net/10438/11637Credit market in Brazil distinguishes from advanced economies in many aspects. One of them is related to collaterals for households borrowing. This work proposes a DSGE framework, based on Gerali et al.(2010), to analyse one pecularity of Brazillian credit market: payroll-deducted personal loans. To original model, we added the possibility to households contract long term debt and compare to differents types of credit constrains: one based on housing and other based on future income. We callibrate and estimate the model to Brazil, using Bayesian technique. Results show that, in a economy where credit constraints are based on income, responses to shocks appear to be stronger, at first, but dissipate faster. This occurs because income responds quickly to shock than housing prices, so does amount available to loans. In order to smooth consumption, agents compensate lower income and borrowing by increasing working hours, restoring loans and debt in a shorter time.O mercado de crédito brasileiro se diferencia em diversos pontos dos mercados em economias avançadas, com relação à composição do crédito, prazo médio, dentre outros. Uma dessas divergências refere-se ao colateral. Neste sentido, este trabalho propõe um modelo DGSE, com base no arcabouço desenvolvido por Gerali et al. (2010) para analisar uma peculiaridade do mercado de crédito brasileiro, o crédito consignado. Ao modelo original, acrescentamos a possibilidade de indivíduos se endividaram e analisamos dois tipos de restrição ao crédito: uma com base na renda futura esperada outra com base no patrimônio imobiliário do agente. Nós calibramos e estimamos Bayesianamente o modelo para a economia brasileira. Os resultados mostram a reação ao choque na economia cujo crédito se baseia na renda parece ser mais intensa e se dissipar mais rapidamente do que na economia com base em housing. Isso decorre do fato de que a renda responde mais rapidamente a choques do que os preços de imóveis, e, dessa forma, a oferta de crédito consignado também.engInvestment coordinationConfidenceHigher-order expectationsFiscal policyRestrições de colateralDSGEFricção financeiraRigidez na taxa de jurosEconomia emergenteEconomiaTaxas de jurosPolítica monetáriaEquilíbrioCréditosCredit borrowing constraints in a DSGE framework: income vs. housinginfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisreponame:Repositório Institucional do FGV (FGV Repositório Digital)instname:Fundação Getulio Vargas (FGV)instacron:FGVinfo:eu-repo/semantics/openAccessORIGINALDissertação Entrega Biblioteca_vf.pdfDissertação Entrega Biblioteca_vf.pdfapplication/pdf410141https://repositorio.fgv.br/bitstreams/445eb439-7925-41f5-8a2b-c6e54e62a63a/downloada8533d96bc13104589c00e80f7e5a22fMD55LICENSElicense.txtlicense.txttext/plain; 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dc.title.eng.fl_str_mv Credit borrowing constraints in a DSGE framework: income vs. housing
title Credit borrowing constraints in a DSGE framework: income vs. housing
spellingShingle Credit borrowing constraints in a DSGE framework: income vs. housing
Lima, Daniela Cunha de
Investment coordination
Confidence
Higher-order expectations
Fiscal policy
Restrições de colateral
DSGE
Fricção financeira
Rigidez na taxa de juros
Economia emergente
Economia
Taxas de juros
Política monetária
Equilíbrio
Créditos
title_short Credit borrowing constraints in a DSGE framework: income vs. housing
title_full Credit borrowing constraints in a DSGE framework: income vs. housing
title_fullStr Credit borrowing constraints in a DSGE framework: income vs. housing
title_full_unstemmed Credit borrowing constraints in a DSGE framework: income vs. housing
title_sort Credit borrowing constraints in a DSGE framework: income vs. housing
author Lima, Daniela Cunha de
author_facet Lima, Daniela Cunha de
author_role author
dc.contributor.unidadefgv.por.fl_str_mv Escolas::EESP
dc.contributor.member.none.fl_str_mv Guimarães, Bernardo de Vasconcellos
Oliveira, Ricardo Dias de
dc.contributor.author.fl_str_mv Lima, Daniela Cunha de
dc.contributor.advisor1.fl_str_mv Teles, Vladimir Kuhl
contributor_str_mv Teles, Vladimir Kuhl
dc.subject.eng.fl_str_mv Investment coordination
topic Investment coordination
Confidence
Higher-order expectations
Fiscal policy
Restrições de colateral
DSGE
Fricção financeira
Rigidez na taxa de juros
Economia emergente
Economia
Taxas de juros
Política monetária
Equilíbrio
Créditos
dc.subject.por.fl_str_mv Confidence
Higher-order expectations
Fiscal policy
Restrições de colateral
DSGE
Fricção financeira
Rigidez na taxa de juros
Economia emergente
dc.subject.area.por.fl_str_mv Economia
dc.subject.bibliodata.por.fl_str_mv Taxas de juros
Política monetária
Equilíbrio
Créditos
description Credit market in Brazil distinguishes from advanced economies in many aspects. One of them is related to collaterals for households borrowing. This work proposes a DSGE framework, based on Gerali et al.(2010), to analyse one pecularity of Brazillian credit market: payroll-deducted personal loans. To original model, we added the possibility to households contract long term debt and compare to differents types of credit constrains: one based on housing and other based on future income. We callibrate and estimate the model to Brazil, using Bayesian technique. Results show that, in a economy where credit constraints are based on income, responses to shocks appear to be stronger, at first, but dissipate faster. This occurs because income responds quickly to shock than housing prices, so does amount available to loans. In order to smooth consumption, agents compensate lower income and borrowing by increasing working hours, restoring loans and debt in a shorter time.
publishDate 2014
dc.date.accessioned.fl_str_mv 2014-04-15T15:54:35Z
dc.date.available.fl_str_mv 2014-04-15T15:54:35Z
dc.date.issued.fl_str_mv 2014-03-11
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
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dc.identifier.citation.fl_str_mv LIMA, Daniela Cunha de. Credit borrowing constraints in a DSGE framework: income vs. housing. Dissertação (Mestrado em Economia de Empresas) - FGV - Fundação Getúlio Vargas, São Paulo, 2014.
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10438/11637
identifier_str_mv LIMA, Daniela Cunha de. Credit borrowing constraints in a DSGE framework: income vs. housing. Dissertação (Mestrado em Economia de Empresas) - FGV - Fundação Getúlio Vargas, São Paulo, 2014.
url http://hdl.handle.net/10438/11637
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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