The (Un)Demand for Money in Canada Staff Working Paper 2018-20 Casey Jones, Geoffrey R. Dunbar A novel dataset from the Bank of Canada is used to estimate the deposit functions for banknotes in Canada for three denominations: $1,000, $100 and $50. The broad flavour of the empirical findings is that denominations are different monies, and the structural estimates identify the underlying sources of the non-neutrality. Content Type(s): Staff research, Staff working papers Topic(s): Bank notes, Econometric and statistical methods JEL Code(s): C, C3, C31, C36, E, E4, E41
Identification of Random Resource Shares in Collective Households Without Preference Similarity Restrictions Staff Working Paper 2017-45 Geoffrey R. Dunbar, Arthur Lewbel, Krishna Pendakur Resource shares, defined as the fraction of total household spending going to each person in a household, are important for assessing individual material well-being, inequality and poverty. They are difficult to identify because consumption is measured typically at the household level, and many goods are jointly consumed, so that individual-level consumption in multi-person households is not directly observed. Content Type(s): Staff research, Staff working papers Topic(s): Domestic demand and components, Econometric and statistical methods JEL Code(s): C, C3, C31, D, D1, D11, D12, D13, I, I3, I32
Demographics and the Demand for Currency Staff Working Paper 2014-59 Geoffrey R. Dunbar I use data from the Bank of Canada’s Bank Note Distribution System and exploit a natural experiment offered by the timing of Easter in the Gregorian calendar to analyze the effects of demographic change for currency demand. Content Type(s): Staff research, Staff working papers Topic(s): Bank notes, Econometric and statistical methods JEL Code(s): C, C3, C31, C36, E, E4, E41
A Framework to Assess Vulnerabilities Arising from Household Indebtedness Using Microdata Staff Discussion Paper 2012-3 Ramdane Djoudad Rising levels of household indebtedness have created concerns about the vulnerabilities of households to adverse economic shocks and the impact on financial stability. To assess these risks, the author presents a formal stress-testing framework that uses microdata to simulate how various economic shocks affect the distribution of the debt-service ratio (DSR) for the household sector. Content Type(s): Staff research, Staff discussion papers Topic(s): Econometric and statistical methods, Financial stability JEL Code(s): C, C1, C15, C3, C31, D, D1, D14, E, E5, E51
Simulations du ratio du service de la dette des consommateurs en utilisant des données micro Staff Working Paper 2009-18 Ramdane Djoudad The 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. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Financial stability JEL Code(s): C, C1, C15, C3, C31, D, D1, D14, E, E5, E51