Potential output in Canada: 2024 assessment Staff analytical note 2024-11 Tessa Devakos, Christopher Hajzler, Stéphanie Houle, Craig Johnston, Antoine Poulin-Moore, Ron Rautu, Temel Taskin We expect that potential output in Canada will grow by 2.3% and 2.5% in 2023 and 2024, respectively, and average slightly below 1.7% by 2027 as population growth moderates. Relative to the April 2023 assessment, growth is revised up in 2024, with a larger contribution from trend labour input due to higher-than-anticipated population growth. We revise down our estimates of growth over 2025–26. 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
Assessing global potential output growth: April 2024 Staff analytical note 2024-10 Amor Aniss Benmoussa, Raheeb Dastagir, Eshini Ekanayake, Justin-Damien Guénette, Helen Lao, Jenna Rolland-Mills, Aidan Spencer, Lin Xiang This note presents the annual update of Bank of Canada staff estimates for growth in global potential output. These estimates serve as key inputs to the analysis supporting the April 2024 Monetary Policy Report. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E1, E2, F, F0, O, O4 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply, Digitalization and productivity
Regulation, Emissions and Productivity: Evidence from China’s Eleventh Five-Year Plan Staff working paper 2024-7 Brantly Callaway, Tong Li, Joel Rodrigue, Yuya Sasaki, Yong Tan We study the degree to which China’s 11th Five-Year Plan softens trade-offs between emissions and output. Our model suggests efficient regulation could have further increased aggregate productivity by 3.5% and output by 4.7% without any increase in aggregate emissions. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C2, C21, D, D2, D24, Q, Q5, Q53 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Climate change, Digitalization and productivity
Digitalization: Prices of Goods and Services Staff discussion paper 2023-27 Vivian Chu, Tatjana Dahlhaus, Christopher Hajzler This paper outlines and assesses the various channels through which digitalization can affect prices of goods and services. Content Type(s): Staff research, Staff discussion papers JEL Code(s): D, D2, E, E3, E31, E5, E52, L, L1, L11 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Structural challenges, Digitalization and productivity
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
Identifying Nascent High-Growth Firms Using Machine Learning Staff working paper 2023-53 Stéphanie Houle, Ryan Macdonald Firms that grow rapidly have the potential to usher in new innovations, products or processes (Kogan et al. 2017), become superstar firms (Haltiwanger et al. 2013) and impact the aggregate labour share (Autor et al. 2020; De Loecker et al. 2020). We explore the use of supervised machine learning techniques to identify a population of nascent high-growth firms using Canadian administrative firm-level data. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C55, C8, C81, L, L2, L25 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Structural challenges, Digitalization and productivity
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
Digitalization: Definition and Measurement Staff discussion paper 2023-20 Guyllaume Faucher, Stéphanie Houle This paper provides an overview of digitalization and its economic implications. We assess the scope of digitalization in Canada as well as the challenges related to its measurement. Content Type(s): Staff research, Staff discussion papers JEL Code(s): E, E0, E01, O, O3, O33, O5, O51 Research Theme(s): Models and tools, Economic models, Structural challenges, Digitalization and productivity
Competition for Exclusivity and Customer Lock-in: Evidence from Copyright Enforcement in China Staff working paper 2023-43 Youming Liu This paper studies the music streaming industry and argues that having exclusive rights granted by copyright law drives firms to offer exclusive content to lock in customers. I employ theoretical and descriptive empirical analysis, along with a dynamic structural model, to support the argument and explore policies for improving competition. Content Type(s): Staff research, Staff working papers JEL Code(s): L, L1, L13, L4, L42, L5, L51 Research Theme(s): Financial markets and funds management, Market structure, Models and tools, Econometric, statistical and computational methods, Structural challenges, Digitalization and productivity
Digitalization: Implications for Monetary Policy Staff discussion paper 2023-18 Vivian Chu, Tatjana Dahlhaus, Christopher Hajzler, Pierre-Yves Yanni We explore the implications of digitalization for monetary policy, both in terms of how monetary policy affects the economy and in terms of data analysis and communication with the public. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C4, C8, E, E3, E31, E32, E5, E52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Monetary policy framework and transmission, Structural challenges, Digitalization and productivity