August 4, 2010 Fellowship Award Annual research grants and expense allowances for a term of up to five years.
We Didn’t Start the Fire: Effects of a Natural Disaster on Consumers’ Financial Distress Staff working paper 2023-15 Anson T. Y. Ho, Kim Huynh, David T. Jacho-Chávez, Geneviève Vallée We use detailed consumer credit data to investigate the impact of the 2016 Fort McMurray wildfire, the costliest wildfire disaster in Canadian history, on consumers’ financial stress. We focus on the arrears of insured mortgages because of their important implications for financial institutions and insurers’ business risk and relevant management practices. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C2, C21, D, D1, D12, G, G2, G21, Q, Q5, Q54 Research Theme(s): Financial system, Financial stability and systemic risk, Household and business credit, Structural challenges, Climate change
Macroeconomic Predictions Using Payments Data and Machine Learning Staff working paper 2022-10 James Chapman, Ajit Desai We demonstrate the usefulness of payment systems data and machine learning models for macroeconomic predictions and provide a set of econometric tools to overcome associated challenges. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C53, C55, E, E3, E37, E4, E42, E5, E52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting, Money and payments, Retail payments
October 26, 2018 Staff economic projections These forecasts are provided to Governing Council in preparation for monetary policy decisions. They are released once a year with a five-year lag.
December 23, 2003 Financial System Review - December 2003 This section of the Financial System Review examines the recent performance of the Canadian financial system and the factors, both domestic and international, that are influencing it. Content Type(s): Publications, Financial Stability Report
Digitalization and Inflation: A Review of the Literature Staff analytical note 2017-20 Karyne B. Charbonneau, Alexa Evans, Subrata Sarker, Lena Suchanek In the past few years, many have postulated that the possible disinflationary effects of digitalization could explain the subdued inflation in advanced economies. In this note, we review the evidence found in the literature. We look at three main channels. Content Type(s): Staff research, Staff analytical notes JEL Code(s): D, D2, D22, E, E3, E31, L, L8, L81, O, O3, O33 Research Theme(s): Financial markets and funds management, Market structure, Monetary policy, Inflation dynamics and pressures, Structural challenges, Digitalization and productivity
Canadian Bitcoin Ownership in 2023: Key Takeaways Staff discussion paper 2025-4 Daniela Balutel, Marie-Hélène Felt, Doina Rusu The Bitcoin Omnibus Survey is an important tool for monitoring Canadians’ awareness and ownership of bitcoin and other cryptoassets over time. In this paper, we present data highlights from the 2023 survey. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C8, C81, E, E4, O, O5, O51 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Digital assets and fintech
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
June 15, 2011 Housing in Canada Remarks Mark Carney Vancouver Board of Trade Vancouver, British Columbia In a speech to the Vancouver Board of Trade, Governor Mark Carney discusses the fundamentals of the Canadian residential real estate market, the international context, and the implications for monetary policy. Content Type(s): Press, Speeches and appearances, Remarks
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