Networking the Yield Curve: Implications for Monetary Policy Staff working paper 2021-4 Tatjana Dahlhaus, Julia Schaumburg, Tatevik Sekhposyan We study how different monetary policies affect the yield curve and interact. Our study highlights the importance of the spillover structure across the yield curve for policy-making. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C18, C2, C21, C5, C53, E, E4, E43, E44, E5, E52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Monetary policy framework and transmission, Monetary policy tools and implementation
How changes in the share of constrained households affect the effectiveness of monetary policy Staff analytical note 2024-3 Felipe Alves, Sushant Acharya We measure how the change in the share of constrained households in Canada following the COVID-19 recession has impacted the effectiveness of monetary policy. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E2, E21, E4, E40, E5, E50 Research Theme(s): Financial system, Household and business credit, Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission
No Double Standards: Quantifying the Impact of Standard Harmonization on Trade Staff working paper 2019-36 Julia Schmidt, Walter Steingress Product standards are omnipresent in industrialized societies. Though standardization can be beneficial for domestic producers, divergent product standards have been categorized as a major obstacle to international trade. This paper quantifies the effect of standard harmonization on trade flows and characterizes the extent to which it changes the cost and demand structure of exporting. Content Type(s): Staff research, Staff working papers JEL Code(s): F, F1, F13, F14, F15, L, L1, L15 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Structural challenges, International trade, finance and competitiveness
Merchant Acceptance of Cash and Credit Cards at the Point of Sale Staff analytical note 2018-1 Ben Fung, Kim Huynh, Kerry Nield, Angelika Welte Recent data show that the use of credit cards in Canada has been increasing, while the use of cash has been declining. At the same time, only two-thirds of small or medium-sized businesses accept credit cards. Content Type(s): Staff research, Staff analytical notes JEL Code(s): C, C2, D, D1, E, E4, E41 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Cash and bank notes, Retail payments
The Digital Economy—Insight from a Special Survey with IT Service Exporters Staff discussion paper 2016-21 Wei Dong, James Fudurich, Lena Suchanek Information technology (IT) is an increasingly integral part of everyday business and personal life reflecting the ongoing and accelerating digital transformation of the economy. In this paper, we present information gathered from a survey with export-oriented firms in the Canadian IT service industry and consultations with industry associations aimed at shedding light on this small but highly dynamic sector. Content Type(s): Staff research, Staff discussion papers JEL Code(s): D, D2, D22, L, L8, L86, O, O3, O33 Research Theme(s): Structural challenges, Demographics and labour supply, Digitalization and productivity, International trade, finance and competitiveness
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
Managing GDP Tail Risk Staff working paper 2020-3 Thibaut Duprey, Alexander Ueberfeldt Models for macroeconomic forecasts do not usually take into account the risk of a crisis—that is, a sudden large decline in gross domestic product (GDP). However, policy-makers worry about such GDP tail risk because of its large social and economic costs. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D8, E, E4, E44, E5, E52, E58, G, G0, G01 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission
The Political Impact of Immigration: Evidence from the United States Staff working paper 2018-19 Anna Maria Mayda, Giovanni Peri, Walter Steingress In this paper we study the impact of immigration to the United States on the vote for the Republican Party by analyzing county-level data on election outcomes between 1990 and 2010. Our main contribution is to separate the effect of high-skilled and low-skilled immigrants, by exploiting the different geography and timing of the inflows of these two groups of immigrants. Content Type(s): Staff research, Staff working papers JEL Code(s): F, F2, F22, J, J6, J61 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply
October 22, 2006 ToTEM: The Bank of Canada's New Projection and Policy-Analysis Model Bank of Canada Review - Autumn 2006 Paul Fenton, Stephen Murchison The Terms-of-Trade Economic Model, or ToTEM, replaced the Quarterly Projection Model (QPM) in December 2005 as the Bank's principal projection and policy-analysis model for the Canadian economy. Benefiting from advances in economic modelling and computer power, ToTEM builds on the strengths of QPM, allowing for optimizing behaviour on the part of firms and households, both in and out of steady state, in a multi-product environment. The authors explain the motivation behind the development of ToTEM, provide an overview of the model and its calibration, and present several simulations to illustrate its key properties, concluding with some indications of how the model is expected to evolve going forward. Content Type(s): Publications, Bank of Canada Review articles
Trading on Long-term Information Staff working paper 2020-20 Corey Garriott, Ryan Riordan Investors who trade based on good research are said to be the backbone of stock markets: They conduct research to discover the value of stocks and, through their trading, guide financial prices to reflect true value. What can make their job difficult is that high-speed, short-term traders could use machine learning and other technologies to infer when informed investors are trading. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G1, G14, G2, G20, L, L1 Research Theme(s): Financial markets and funds management, Market functioning, Market structure, Financial system, Financial institutions and intermediation