Pricing behaviour and inflation during the COVID-19 pandemic: Insights from consumer prices microdata Staff analytical note 2024-6 Olga Bilyk, Mikael Khan, Olena Kostyshyna Using the microdata underlying the Canadian consumer price index, we study how often and by how much firms changed their prices during the COVID-19 pandemic. We find that the surge in inflation was mainly associated with retailers raising prices much more often than before. We also find that more recently, corporate price-setting behaviour appears to be approaching pre-pandemic norms. Content Type(s): Staff research, Staff analytical notes JEL Code(s): D, D2, D22, E, E3, E31, L, L1, L11 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Real economy and forecasting
Measuring household financial stress in Canada using consumer surveys Staff analytical note 2024-5 Nicolas Bédard, Patrick Sabourin We use data from the Canadian Survey of Consumer Expectations to understand how households are coping with high inflation and high interest rates. We build a subjective measure of financial stress and find that the level of stress is at a historical high but remains manageable for most households. Content Type(s): Staff research, Staff analytical notes JEL Code(s): D, D1, D14, G, G5, H, H3 Research Theme(s): Financial system, Household and business credit, Monetary policy, Real economy and forecasting
What has been putting upward pressure on CORRA? Staff analytical note 2024-4 Boran Plong, Neil Maru From the autumn of 2023 into early 2024, the Canadian Overnight Repo Rate Average (CORRA), a measure of the cost of overnight general collateral Canadian dollar repos, was consistently well above the Bank’s target for the overnight rate. We find that, among several factors, long bond positions that require repo financing are the main driver of the recent upward pressure on CORRA. Content Type(s): Staff research, Staff analytical notes JEL Code(s): D, D4, D5, D53, E, E4, E43, E44, E5, E52, G, G1, G12 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial institutions and intermediation, Monetary policy, Monetary policy tools and implementation
How changes in the share of constrained households affect the effectiveness of monetary policy Staff analytical note 2024-3 Felipe Alves, Sushant Acharya We measure how the change in the share of constrained households in Canada following the COVID-19 recession has impacted the effectiveness of monetary policy. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E2, E21, E4, E40, E5, E50 Research Theme(s): Financial system, Household and business credit, Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission
Market structure of cryptoasset exchanges: Introduction, challenges and emerging trends Staff analytical note 2024-2 Vladimir Skavysh, Jacob Sharples, Sofia Priazhkina, Salman H. Hasham This paper provides an overview of cryptoasset exchanges. We contrast their design with exchanges in traditional financial markets and discuss emerging regulatory trends and innovations aimed at solving the problems cryptoasset exchanges face. Content Type(s): Staff research, Staff analytical notes JEL Code(s): G, G1, G15, L, L1 Research Theme(s): Financial markets and funds management, Market structure, Money and payments, Digital assets and fintech
Modelling Canadian mortgage debt and payments in a semi-structural model Staff analytical note 2024-1 Fares Bounajm, Austin McWhirter We show how Canadian mortgage debt dynamics can be modelled in a semi-structural macroeconomic model, such as the Bank of Canada’s LENS. The model we propose accounts for Canada’s unique mortgage debt structure. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E2, E27, E4, E43, E47, G, G5, G51 Research Theme(s): Financial system, Household and business credit, Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission
The impact of higher interest rates on mortgage payments Staff analytical note 2023-19 Maria teNyenhuis, Adam Su We investigate how the increase in interest rates since early 2022 is affecting mortgage payments. By November 2023, less than half of mortgage holders had faced higher payments. Many borrowers will see a sizable increase in payments at renewal, although income growth could help mitigate the impact. Content Type(s): Staff research, Staff analytical notes JEL Code(s): D, D1, E, E4, E5, G, G2, G21 Research Theme(s): Financial system, Household and business credit, Monetary policy, Monetary policy framework and transmission
Finding the balance—measuring risks to inflation and to GDP growth Staff analytical note 2023-18 Bruno Feunou, James Kyeong Using our new quantitative tool, we show how the risks to the inflation and growth outlooks have evolved over the course of 2023. Content Type(s): Staff research, Staff analytical notes JEL Code(s): C, C3, C32, C5, C58, E, E4, E44, G, G1, G17 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission, Real economy and forecasting
Assessing the effects of higher immigration on the Canadian economy and inflation Staff analytical note 2023-17 Julien Champagne, Erik Ens, Xing Guo, Olena Kostyshyna, Alexander Lam, Corinne Luu, Sarah Miller, Patrick Sabourin, Joshua Slive, Temel Taskin, Jaime Trujillo, Shu Lin Wee We assess the complex macroeconomic implications of Canada’s recent population increases. We find that newcomers significantly boost the non-inflationary, potential growth of the economy, but existing imbalances in the housing sector may be exacerbated. Greater housing supply is needed to complement the long-term economic benefits of population growth. Content Type(s): Staff research, Staff analytical notes JEL Code(s): A, A1, A10, E, E2, E20, E3, E31, J, J1, J11, J15 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Real economy and forecasting, Structural challenges, Demographics and labour supply
Machine learning for economics research: when, what and how Staff analytical note 2023-16 Ajit Desai This article reviews selected papers that use machine learning for economics research and policy analysis. Our review highlights when machine learning is used in economics, the commonly preferred models and how those models are used. Content Type(s): Staff research, Staff analytical notes JEL Code(s): A, A1, A10, B, B2, B23, C, C4, C45, C5, C55 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Structural challenges, Digitalization and productivity