The Heterogeneous Effects of COVID-19 on Canadian Household Consumption, Debt and Savings Staff working paper 2020-51 James (Jim) C. MacGee, Thomas Michael Pugh, Kurt See The impact of COVID-19 on Canadian households’ debt and unplanned savings varies by household income. Low-income and high-income households accrued unplanned savings, while middle-income households tended to accumulate more debt. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E21, E24, G, G5, G51 Research Theme(s): Financial system, Financial stability and systemic risk, Household and business credit, Monetary policy, Real economy and forecasting
August 4, 2010 Fellowship Award Annual research grants and expense allowances for a term of up to five years.
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
An Empirical Analysis of Bill Payment Choices Staff working paper 2021-23 Anneke Kosse How do Canadians pay their bills? 2019 survey data collected from over 4,000 Canadian consumers show how people’s bill payment choices vary with consumer characteristics and types of bills. The data also reveal that many consumers feel limited in their choices, which suggests that preferences of billers might play an important role as well. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D1, D9, G, G2 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Retail payments
The Trend Unemployment Rate in Canada: Searching for the Unobservable Staff working paper 2019-13 Dany Brouillette, Marie-Noëlle Robitaille, Laurence Savoie-Chabot, Pierre St-Amant, Bassirou Gueye, Elise Nelson In this paper, we assess several methods that have been used to measure the Canadian trend unemployment rate (TUR). We also consider improvements and extensions to some existing methods. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C52, C53, E, E2, E24, E27 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Inflation dynamics and pressures, Real economy and forecasting
Canadians’ access to cash in 2023 Staff analytical note 2025-13 Heng Chen, Hongyu Xiao, Daneal O’Habib, Stephen Wild This study updates our measure of Canadians' access to cash through automated banking machines and financial institution branches. We find that in 2023 overall access to cash remains stable, while rural Canadians continue having less access. Content Type(s): Staff research, Staff analytical notes JEL Code(s): J, J1, J15, O, O1, R, R5, R51 Research Theme(s): Money and payments, Cash and bank notes
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
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
June 8, 2015 Panel remarks for round table discussion at the 21st Conference of Montréal Remarks Carolyn A. Wilkins 21st Conference of Montréal: International Economic Forum of the Americas Montréal, Quebec Introduction Thank you for the invitation to be here today. I’m honoured to be part of this panel. It’s been more than seven years since the global financial crisis began, and we’re still coping with its aftermath. One of the consequences of the crisis has been a disruption of financial globalization. Global capital flows—to give […] Content Type(s): Press, Speeches and appearances, Remarks