November 18, 2010 Financial Stress, Monetary Policy, and Economic Activity Bank of Canada Review - Autumn 2010 Fuchun Li, Pierre St-Amant The recent global crisis was characterized by a remarkable intensity in the negative feedback process between financial sector developments and the real economy. Content Type(s): Publications, Bank of Canada Review articles
Downward Nominal Wage Rigidity in Canada: Evidence from Micro- Level Data Staff working paper 2016-40 Dany Brouillette, Olena Kostyshyna, Natalia Kyui We assess the importance of downward nominal wage rigidity (DNWR) in Canada using both firm- and worker-level microdata. In particular, we analyze employer-level administrative data from the Major Wage Settlements (MWS) and household-based survey data from the Survey of Labour Income Dynamics (SLID). Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E24, J, J3, J30 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Structural challenges, Demographics and labour supply
Integrating Non-traditional Data and AI into Central Banking: A Canadian Perspective Staff analytical paper 2026-17 James Chapman, Ajit Desai, Maryam Haghighi, James (Jim) C. MacGee This paper reviews how central banks are integrating non traditional data and artificial intelligence (AI) into policy analysis and operations. Using the Bank of Canada’s experience, it examines emerging applications, governance challenges, and strategic choices for responsibly scaling AI to enhance insight, efficiency, and institutional resilience. Content Type(s): Staff research, Staff analytical paper JEL Code(s): C, C4, C45, C5, C55, C8, C88, L, L2, L23, M, M1, M15, O, O3, O33 Research Theme(s): Financial system, Financial stability and systemic risk, Monetary policy, Monetary policy tools and implementation, Money and payments, Payment and financial market infrastructures
Redefining Financial Inclusion for a Digital Age: Implications for a Central Bank Digital Currency Staff discussion paper 2023-22 Alexandra Sutton-Lalani, Sebastian Hernandez, John Miedema, Jiamin Dai, Badr Omrane We explore quantitative and qualitative information about Canadians who face barriers to making digital payments. We also consider the implications of ongoing digitalization for modern financial inclusion and a potential central bank digital currency. Content Type(s): Staff research, Staff discussion papers JEL Code(s): A, A1, A14, E, E4, E42, E5, E50, I, I3, I31, O, O3, O33, O5, O51 Research Theme(s): Money and payments, Digital assets and fintech, Retail payments, Structural challenges, Demographics and labour supply, Digitalization and productivity
Windfall Income Shocks with Finite Planning Horizons Staff working paper 2022-40 Michael Boutros How do households respond when they receive unanticipated income, such as an inheritance or government stimulus cheque? This paper studies these windfall income shocks through a model of household behaviour that generates a realistic consumption response for households along the entire distribution of wealth. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D9, D91, E, E2, E21, G, G5, G51 Research Theme(s): Financial system, Household and business credit, Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission
A Spatial Model of Bank Branches in Canada Staff working paper 2020-4 Heng Chen, Matthew Strathearn Using data on bank branch locations across Canada from 2008 to 2018, we explore an interesting aspect of bank branch competition—geographic concentration. We find that bank branch density does not correlate with geographic and market concentration; however, we do find strong correlation with postal-code demographics. Content Type(s): Staff research, Staff working papers JEL Code(s): L, L1, R, R3 Research Theme(s): Financial markets and funds management, Market structure, Financial system, Financial institutions and intermediation
The Mode is the Message: Using Predata as Exclusion Restrictions to Evaluate Survey Design Staff working paper 2017-43 Heng Chen, Geoffrey R. Dunbar, Rallye Shen Changes in survey mode (e.g., online, offline) may influence the values of survey responses, and may be particularly problematic when comparing repeated cross-sectional surveys. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C8 Research Theme(s): Models and tools, Econometric, statistical and computational methods
May 16, 2016 A New Era of Central Banking: Unconventional Monetary Policies Bank of Canada Review - Spring 2016 Eric Santor, Lena Suchanek Central banks can implement unconventional monetary policy measures to provide additional easing when policy interest rates come close to their lower limit. To date, the international experience with tools such as quantitative easing and negative interest rates has been largely positive. Central banks may also use several such measures simultaneously, with often mutually reinforcing effects. Yet, unconventional tools are also subject to potential limits, and the costs associated with these measures could rise with extensive and prolonged use. Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): E, E5, E52, E58, E6, E61, E65
The Canadian corporate investment gap Staff analytical note 2020-19 Chris D'Souza, Timothy Grieder, Daniel Hyun, Jonathan Witmer Business investment has been lower than expected in Canada and abroad since the financial crisis of 2007–09. This corporate investment gap is mirrored in firms’ other financing decisions, as they have increased cash holdings and dividend payments and decreased issuance of debt and equity. Content Type(s): Staff research, Staff analytical notes JEL Code(s): D, D2, D22, D9, D92, G, G3, G31, G32 Research Theme(s): Monetary policy, Monetary policy framework and transmission, Real economy and forecasting
Characterizing the Canadian Financial Cycle with Frequency Filtering Approaches Staff analytical note 2018-34 Andrew Lee-Poy In this note, I use two multivariate frequency filtering approaches to characterize the Canadian financial cycle by capturing fluctuations in the underlying variables with respect to a long-term trend. The first approach is a dynamically weighted composite, and the second is a stochastic cycle model. Content Type(s): Staff research, Staff analytical notes JEL Code(s): C, C0, C01, C1, C13, C14, C18, C3, C32, C5, C51, C52, E, E3, E32, E6, E66, G, G0, G01, G1, G18 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods, Economic models