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dc.contributor.authorDjoudad, Ramdaneen_US
dc.description.abstractThe author constructs a formal analytic framework to simulate the impact of various economic shocks on the household debt-service ratio, using data from the Canadian Financial Monitor (CFM) survey. The impact of these shocks on individual households depends on the socio-economic characteristics of the latter. The framework also allows consideration of both symmetric and asymmetric shocks to incomes. The author's work is original in several respects: it captures the heterogeneity of the impact of these shocks on households, it uses cross-sectional data to estimate credit-growth equations, and it determines household credit growth based on income, interest rates, and housing prices. To illustrate the usefulness of his approach, the author provides income, debt, and interest rate scenarios, and then simulates his model over twelve periods. This methodology can, of course, be used with other microdata.en_US
dc.publisherBanque du Canada Ottawaen_US
dc.relation.ispartofseriesDocument de travail de la Banque du Canada 2009-18en_US
dc.subject.keywordEconometric and statistical methodsen_US
dc.subject.keywordFinancial stabilityen_US
dc.subject.stwStatistische Methodeen_US
dc.titleSimulations du ratio du service de la dette des consommateurs en utilisant des données microen_US
dc.typeWorking Paperen_US
Appears in Collections:Bank of Canada Working Papers

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