Cyclicality of Schooling: New Evidence from Unobserved Components Models Staff working paper 2020-38 Barbara Sadaba, Sunčica Vujič, Sofia Maier What is the time-varying impact of economic cycles on decisions to invest in human capital? Content Type(s): Staff research, Staff working papers JEL Code(s): C, C3, C32, E, E3, I, I2, J, J2 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting
Potential output in Canada: 2026 assessment Staff analytical paper 2026-19 Alex Chernoff, Christopher Hajzler, Stéphanie Houle, Gabriella Ruggero, Olena Senyuta, Karanbir Sohal, Walter Steingress, Temel Taskin Growth in potential output is expected to drop from 2.3% in 2025 to 1.2% in 2026 given slowing population growth, US tariffs and trade policy uncertainty. It is then estimated to pick up to an average of 1.5% over 2027–29 as strengthening business and government investment supports trend labour productivity (TLP). Gradual adoption of artificial intelligence is also expected to lift TLP growth over the projection horizon. Content Type(s): Staff research, Staff analytical paper JEL Code(s): E, E2, E3, E4, E5 Research Theme(s): Models and tools, Economic models, Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply
Price Discounts and Cheapflation During the Post-Pandemic Inflation Surge Staff working paper 2024-31 Alberto Cavallo, Oleksiy Kryvtsov We study how price variation within a store changes with inflation, and whether households exploit these changes to reduce the burden of inflation. We find that price changes from discounts mitigated the inflation burden while cheapflation exacerbated it. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E21, E3, E30, E31, L, L8, L81 Research Theme(s): Financial markets and funds management, Market functioning, Monetary policy, Inflation dynamics and pressures
June 4, 2020 Economic progress report: keeping markets working Remarks (delivered virtually) Toni Gravelle Greater Sudbury Chamber of Commerce Sudbury, Ontario Deputy Governor Toni Gravelle discusses the Bank’s latest interest rate announcement and explains how efforts to keep financial markets functioning through the COVID-19 crisis will lay a solid foundation for economic recovery Content Type(s): Press, Speeches and appearances, Remarks Subject(s): Financial system, Financial markets, Financial stability, Monetary policy, Economy/Economic growth, Inflation targeting framework
Time-Varying Crash Risk: The Role of Stock Market Liquidity Staff working paper 2016-35 Peter Christoffersen, Bruno Feunou, Yoontae Jeon, Chayawat Ornthanalai We estimate a continuous-time model with stochastic volatility and dynamic crash probability for the S&P 500 index and find that market illiquidity dominates other factors in explaining the stock market crash risk. While the crash probability is time-varying, its dynamic depends only weakly on return variance once we include market illiquidity as an economic variable in the model. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G0, G01, G1, G12 Research Theme(s): Financial markets and funds management, Market functioning, Market structure, Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods
Local Labor Markets in Canada and the United States Staff working paper 2019-12 David Albouy, Alex Chernoff, Chandler Lutz, Casey Warman We examine local labor markets in the United States and Canada from 1990 to 2011 using comparable household and business data. Wage levels and inequality rise with city population in both countries, albeit less in Canada. Content Type(s): Staff research, Staff working papers JEL Code(s): J, J2, J21, J3, J31, J6, J61, N, N3, N32, R, R1, R12 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply
May 9, 2018 Strengthening Our Cyber Defences Remarks Filipe Dinis Payments Canada Toronto, Ontario Chief Operating Office Filipe Dinis outlines how the Bank is strengthening its cyber defenses and helping improve the financial system’s cyber resilience and its ability to recover quickly from attacks. Content Type(s): Press, Speeches and appearances, Remarks Subject(s): Currency, Digital currency, Financial system, Financial markets, Financial stability
The Central Bank Strikes Back! Credibility of Monetary Policy under Fiscal Influence Staff working paper 2022-11 Antoine Camous, Dmitry Matveev Central banks in many advanced economies enjoy a high degree of independence, which protects monetary policy decisions from political influence. But how should independent central banks react if pressured by fiscal policy-makers? We examine whether a central bank should design a monetary policy framework that prescribes acting conditionally on how fiscal policy behaves. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E0, E02, E5, E52, E58, E6, E61, E62 Research Theme(s): Financial system, Financial stability and systemic risk, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission, Monetary policy tools and implementation
State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models Staff working paper 2018-14 Luis Uzeda Implications for signal extraction from specifying unobserved components (UC) models with correlated or orthogonal innovations have been well investigated. In contrast, the forecasting implications of specifying UC models with different state correlation structures are less well understood. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C11, C15, C5, C51, C53 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Inflation dynamics and pressures, Real economy and forecasting
Quantum Monte Carlo for Economics: Stress Testing and Macroeconomic Deep Learning Staff working paper 2022-29 Vladimir Skavysh, Sofia Priazhkina, Diego Guala, Thomas Bromley Using the quantum Monte Carlo algorithm, we study whether quantum computing can improve the run time of economic applications and challenges in doing so. We apply the algorithm to two models: a stress testing bank model and a DSGE model solved with deep learning. We also present innovations in the algorithm and benchmark it to classical Monte Carlo. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C15, C6, C61, C63, C68, C7, E, E1, E13, G, G1, G17, G2, G21 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods, Economic models