Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Repositório Instituc...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
addClaim

Determinants of household debt levels

Authors: Rodrigues, Carlos Filipe Lopes;

Determinants of household debt levels

Abstract

O objectivo desta tese centra-se na compreensão da importância da habitação como garantia para os empréstimos por este titulados, permitindo o acesso ao consumo de um agregado familiar, bem como uma análise aos factores que determinam os níveis de utilização dos vários tipos de dívida que as famílias podem incorrer para financiar a aquisição de activos. O crédito total das famílias está dividido em crédito com garantias (hipotecárias) e sem garantias hipotecárias (empréstimos pessoais, empréstimos de carro, descobertos, os saldos de cartão de crédito e outras dívidas). Com maior detalhe, o modelo desenvolvido tenta capturar em que forma as variáveis tais como idade, renda, tamanho, educação e tangibilidade influenciam o crédito à habitação e o crédito ao consumidor. Verificou-se que as variáveis implícitas no modelo variam de acordo com os diferentes tipos de crédito considerado.

The aim of this thesis focuses on understanding the importance of housing as a provider of collateral for loans, enabling household consumption, as well as an analysis of the factors determining the proportion of the different types of debt in the financing of household assets. Household total debt is split into secured (mortgages) and unsecured debt (personal loans, car loans, overdrafts, credit card balances and other debt). In higher detail the developed model tries to capture in what way variables such as age, income, size, education, and tangibility influence housing and consumer debt. It is found that the determinants vary according to the different type of debt considered.

Country
Portugal
Related Organizations
Keywords

Endividamento dos agregados familiares, Domínio/Área Científica::Ciências Sociais::Economia e Gestão, Life cycle models, Dívida ao consumo, Housing, Mortgage debt, Dívida hipotecária, Habitação, Modelos de ciclo vida, Household debt, Consumer debt

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 56
    download downloads 41
  • 56
    views
    41
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
56
41
Green