Potential output in Canada: 2020 reassessment Staff analytical note 2020-25 Dany Brouillette, Julien Champagne, Julien McDonald-Guimond After COVID-19, we expect potential output growth to stabilize around 1.2 percent. This is lower than the 2010–18 average growth of 1.8 percent. Relative to the April 2019 reassessment, the growth profile is revised down. Given the unknown course of the pandemic, uncertainty around these estimates is higher than in previous years. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E0, E00, E2, E23, E24, E3, E37, E6 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply, Digitalization and productivity
Technology Adoption in Input-Output Networks Staff working paper 2019-51 Xintong Han, Lei Xu We study how input-output networks affect the speed of technology adoption. In particular, we model the decision to adopt the programming language Python 3 by software packages. Python 3 provides advanced features but is not backward compatible with Python 2, which implies it comes with adoption costs. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C61, L, L2, L23, L8, L86, O, O1, O14, O3, O33 Research Theme(s): Models and tools, Economic models, Structural challenges, Digitalization and productivity
Changing Fortunes: Long-Termism—G-Zero, Artificial Intelligence and Debt Staff discussion paper 2019-12 Stephen S. Poloz This paper discusses three long-term forces that are acting on the global economy and their implications for companies and policy-makers. Content Type(s): Staff research, Staff discussion papers JEL Code(s): E, E6, E63, F, F0, F02, F1, F15, F5, F53, F6, H, O, O1, O11, O3, O33 Research Theme(s): Financial system, Financial stability and systemic risk, Structural challenges, Demographics and labour supply, Digitalization and productivity, International trade, finance and competitiveness
Technological Progress and Monetary Policy: Managing the Fourth Industrial Revolution Staff discussion paper 2019-11 Stephen S. Poloz This paper looks at the implications for monetary policy of the widespread adoption of artificial intelligence and machine learning, which is sometimes called the “fourth industrial revolution.” Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C5, E, E3, O, O1, O11, O3, O33 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission, Structural challenges, Digitalization and productivity
Amazon Effects in Canadian Online Retail Firm-Product-Level Data Staff working paper 2019-42 Alex Chernoff I use firm-product-level data for Canadian online retailers to study how product scope (the average number of product categories per firm) evolved from 1999 to 2012. During this period, product scope dropped monotonically from 59 to 5 product categories. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D2, D22, L, L1, L11, L8, L81 Research Theme(s): Structural challenges, Digitalization and productivity, International trade, finance and competitiveness
Online Privacy and Information Disclosure by Consumers Staff working paper 2019-22 Shota Ichihashi A consumer discloses information to a multi-product seller, which learns about the consumer’s preferences, sets prices, and makes product recommendations. While the consumer benefits from accurate product recommendations, the seller may use the information to price discriminate. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D8, D82, D83 Research Theme(s): Financial markets and funds management, Market functioning, Models and tools, Economic models, Structural challenges, Digitalization and productivity
Assessing Global Potential Output Growth: April 2019 Staff analytical note 2019-13 Fares Bounajm, Jean-Philippe Cayen, Michael Francis, Christopher Hajzler, Kristina Hess, Guillaume Poulin-Bellisle, Peter Selcuk This note presents the updated estimates of potential output growth for the global economy through 2021. Global potential output is expected to grow by 3.3 per cent per year over the projection horizon. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E1, E10, E2, E20, O, O4 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply, Digitalization and productivity, International trade, finance and competitiveness
Potential Output in Canada: 2019 Reassessment Staff analytical note 2019-10 Dany Brouillette, Julien Champagne, Carol Khoury, Natalia Kyui, Jeffrey Mollins, Youngmin Park Potential output is expected to grow on average at 1.8 per cent over 2019–21 and at 1.9 per cent in 2022. While the contribution of trend labour input to potential output growth is expected to decrease between 2019 and 2022, the contribution of trend labour productivity is projected to increase. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E0, E00, E2, E22, E23, E24, E3, E37, E6 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply, Digitalization and productivity
The Productivity Slowdown in Canada: An ICT Phenomenon? Staff working paper 2019-2 Jeffrey Mollins, Pierre St-Amant We ask whether a weaker contribution of information and communication technologies (ICT) to productivity growth could account for the productivity slowdown observed in Canada since the early 2000s. To answer this question, we consider several methods capturing channels through which ICT could affect aggregate productivity growth. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D2, D24, O, O4, O41, O47 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Digitalization and productivity
Characterizing Canada’s Export Sector by Industry: A Supply-Side Perspective Staff analytical note 2018-27 Taylor Webley This note examines supply-side trends in Canadian non-energy industries and their implications for export performance. Between 2002 and 2016, capital stocks and total labour input declined in many industries that export non-energy goods. These soft trends in the factors of production have likely contributed to the decline in non-energy exports in about half of the goods industries analyzed in this note. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E2, E22, E23, E24, F, F1, F19 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Digitalization and productivity, International trade, finance and competitiveness