Total factor productivity growth projection for Canada: A sectoral approach Staff analytical note 2024-12 Dany Brouillette, Tessa Devakos, Raven Wheesk We propose a tool that decomposes TFP growth into sectoral contributions. The analysis incorporates three structural factors—digitalization, aging and climate change policies—and measures their contributions. Overall, we expect that aggregate TFP growth will slow down in the 2020s below both its historical average and the average from the 2010s. Content Type(s): Staff research, Staff analytical notes JEL Code(s): D, D2, D24, J, J1, J11, O, O3, O33, Q, Q5, Q54 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Climate change, Demographics and labour supply, Digitalization and productivity
The Simple Economics of Global Fuel Consumption Staff working paper 2019-35 Doga Bilgin, Reinhard Ellwanger This paper presents a structural framework of the global oil market that relies on information on global fuel consumption to identify flow demand for oil. We show that under mild identifying assumptions, data on global fuel consumption help to provide comparatively sharp insights on elasticities and other key structural parameters of the global oil market. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C51, L, L7, L71, Q, Q4, Q41, Q43 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Real economy and forecasting
Financial Intermediaries and the Macroeconomy: Evidence from a High-Frequency Identification Staff working paper 2022-24 Pablo Ottonello, Wenting Song We provide empirical evidence of effects to the aggregate economy from surprises about financial intermediaries’ net worth based on a high-frequency identification strategy. We estimate that news of a 1% decline in intermediaries’ net worth leads to a 0.2%–0.4% decrease in the market value of nonfinancial firms. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E3, E32, E4, E44, E5, E51, G, G0, G01, G1, G12, G2, G21, G23, G24, G3, G32 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial institutions and intermediation, Household and business credit, Monetary policy, Real economy and forecasting
June 17, 2008 A Tool for Assessing Financial Vulnerabilities in the Household Sector Bank of Canada Review - Summer 2008 Shubhasis Dey, Ramdane Djoudad, Yaz Terajima In this article, the authors build on the framework used in the Bank of Canada's Financial System Review to assess the evolution of household indebtedness and financial vulnerabilities in response to changing economic conditions. To achieve this, they first compare two microdata sets generated by Ipsos Reid's Canadian Financial Monitor and Statistics Canada's Survey of Financial Security. They find that the surveys are broadly comparable, despite methodological differences. This enables them to use the combined information content for the identification of the threshold value of the debt-service ratio (DSR). The article then presents an innovative framework that uses household-level microdata to simulate changes in the distribution of the DSR under various stress scenarios. The authors show how this framework can be used by analyzing the effects of two different scenarios on the distribution of the debt-service ratio and the impact on vulnerable households. This tool will enable researchers to refine their analyses of current risks to the financial health of Canadian households. The article concludes with comments on future directions for refining the Bank's analyses of household sector risk. Content Type(s): Publications, Bank of Canada Review articles
Endogenous Time Variation in Vector Autoregressions Staff working paper 2020-16 Danilo Leiva-Leon, Luis Uzeda We introduce a new class of time-varying parameter vector autoregressions (TVP-VARs) where the identified structural innovations are allowed to influence — contemporaneously and with a lag — the dynamics of the intercept and autoregressive coefficients in these models. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C11, C3, C32, E, E3, E31, E5, E52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission
What COVID-19 May Leave Behind: Technology-Related Job Postings in Canada Staff working paper 2022-17 Alejandra Bellatin, Gabriela Galassi COVID-19 affects technology adoption: online job postings for technology-related occupations fall less during pandemic lockdowns and pick up faster during reopenings than postings for more traditional occupations. Content Type(s): Staff research, Staff working papers JEL Code(s): J, J2, J23, J24, O, O1, O14 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply, Digitalization and productivity
DeFi Lending: Returns, Leverage, and Liquidation Risk Staff analytical paper 2026-13 Jonathan Chiu, Furkan Danisman DeFi lending with proper governance is operationally viable, but it also faces constraints related to capital efficiency, liquidation risk, and systemic fragility within the crypto ecosystem. Content Type(s): Staff research, Staff analytical paper JEL Code(s): E, E5, E50, E58 Research Theme(s): Money and payments, Digital assets and fintech, Payment and financial market infrastructures
April 16, 2006 Bank of Canada Review - Spring 2006 Cover page Depression Scrip The examples of Depression scrip illustrated here are part of the National Currency Collection of the Bank of Canada. Content Type(s): Publications, Bank of Canada Review
Monetary Payoff and Utility Function in Adaptive Learning Models Staff working paper 2019-50 Erhao Xie When players repeatedly face an identical or similar game (e.g., coordination game, technology adoption game, or product choice game), they may learn through experience to perform better in the future. This learning behaviour has important economic implications. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C57, C7, C72, C9, C92 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models