Potential output in Canada: 2025 assessment Staff analytical note 2025-14 Selam Abraham, Dany Brouillette, Alex Chernoff, Christopher Hajzler, Stéphanie Houle, Mark Kim, Temel Taskin We explore two scenarios for potential output growth to gain insights into the economic consequences associated with different possible trade policies. Scenario 1 includes limited US tariffs on Canadian exports. Scenario 2 adds a permanent, broad-based 25% increase in US tariffs on imports from all countries excluding Canada and Mexico. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E2, E3, E4, E5 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply, Digitalization and productivity
Nowcasting Canadian GDP with Density Combinations Staff discussion paper 2022-12 Tony Chernis, Taylor Webley We present a tool for creating density nowcasts for Canadian real GDP growth. We demonstrate that the combined densities are a reliable and accurate tool for assessing the state of the economy and risks to the outlook. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C5, C52, C53, E, E3, E7 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting
On the Evolution of Multiple Jobholding in Canada Staff working paper 2019-49 Olena Kostyshyna, Etienne Lalé The number of workers who hold more than one job (a.k.a. multiple jobholders) has increased recently in Canada. While this seems to echo the view that non-standard work arrangements are becoming pervasive, the increase has in fact been trivial compared with the long-run rise of multiple jobholding that has occurred since the mid-1970s. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E24, J, J2, J21, J22, J6, J60 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply
An Application of Shapley Value Cost Allocation to Liquidity Savings Mechanisms Staff working paper 2019-26 Rodney J. Garratt Liquidity demands in real-time gross settlement payment systems can be enormous. To reduce the liquidity requirement, central banks around the world have implemented liquidity savings mechanisms (LSMs). Content Type(s): Staff research, Staff working papers JEL Code(s): C, C7, C72, E, E5, E58 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Payment and financial market infrastructures
The Trend Unemployment Rate in Canada: Searching for the Unobservable Staff working paper 2019-13 Dany Brouillette, Marie-Noëlle Robitaille, Laurence Savoie-Chabot, Pierre St-Amant, Bassirou Gueye, Elise Nelson In this paper, we assess several methods that have been used to measure the Canadian trend unemployment rate (TUR). We also consider improvements and extensions to some existing methods. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C52, C53, E, E2, E24, E27 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Inflation dynamics and pressures, Real economy and forecasting
High-Frequency Trading and Institutional Trading Costs Staff working paper 2018-8 Marie Chen, Corey Garriott Using data on Canadian bond futures, we examine how high-frequency traders (HFTs) interact with institutions building large positions. In contrast to recent findings, we find HFTs in the data act as small-sized liquidity suppliers, and we reject the hypothesis that they engage in back running, a predatory trading strategy. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G1, G14, G2, G20, L, L1, L10 Research Theme(s): Financial markets and funds management, Market functioning, Market structure
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
Quantitative Easing in a Small Open Economy: An International Portfolio Balancing Approach Staff working paper 2016-55 Serdar Kabaca This paper studies the effects of quantitative easing (QE) in a small open economy dynamic stochastic general-equilibrium model with international portfolio balancing. Portfolios are classified as imperfectly substitutable short-term and long-term subportfolios, each including domestic and foreign bonds. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E5, E52, F, F4, F41 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy tools and implementation, Structural challenges, International trade, finance and competitiveness
Housing and Tax-Deferred Retirement Accounts Staff working paper 2016-24 Anson T. Y. Ho, Jie Zhou Assets in tax-deferred retirement accounts (TDA) and housing are two major components of household portfolios. In this paper, we develop a life-cycle model to examine the interaction between households’ use of TDA and their housing decisions. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C61, D, D1, D14, D9, D91, E, E2, E21, H, H2, H24, R, R2, R21 Research Theme(s): Financial system, Household and business credit, Models and tools, Economic models, Monetary policy, Real economy and forecasting
The Case of Serial Disappointment Staff analytical note 2016-10 Justin-Damien Guénette, Nicholas Labelle, Martin Leduc, Lori Rennison Similar to those of other forecasters, the Bank of Canada’s forecasts of global GDP growth have shown persistent negative errors over the past five years. This is in contrast to the pre-crisis period, when errors were consistently positive as global GDP surprised to the upside. All major regions have contributed to the forecast errors observed since 2011, although the United States has been the most persistent source of notable errors. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E2, E27, E6, E66, F, F0, F01 Research Theme(s): Models and tools, Economic models, Monetary policy, Real economy and forecasting