Markov‐Switching Three‐Pass Regression Filter Staff working paper 2017-13 Pierre Guérin, Danilo Leiva-Leon, Massimiliano Marcellino We introduce a new approach for the estimation of high-dimensional factor models with regime-switching factor loadings by extending the linear three-pass regression filter to settings where parameters can vary according to Markov processes. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C2, C22, C23, C5, C53 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Real economy and forecasting
Occasionally Binding Constraints in Large Models: A Review of Solution Methods Staff discussion paper 2021-5 Jonathan Swarbrick Solving macroeconomic models is difficult. One challenge is the occasionally binding constraint of the zero lower bound on nominal interest rates. This paper reviews various ways to solve models that include this feature. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C6 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission
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
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
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
Canadian Financial Stress and Macroeconomic Conditions Staff discussion paper 2020-4 Thibaut Duprey Severe disruptions in the financial markets, as observed during the 2008 global financial crisis or the COVID-19 pandemic, can impair the stability of the entire financial system and worsen macroeconomic downturns. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C3, C32, E, E4, E44, G, G0, G01 Research Theme(s): Financial system, Financial stability and systemic risk, Monetary policy, Real economy and forecasting
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
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.
Optimal Interbank Regulation Staff working paper 2017-48 Thomas J. Carter Recent years have seen renewed interest in the regulation of interbank markets. A review of the literature in this area identifies two gaps: first, the literature has tended to make ad hoc assumptions about the interbank contract space, which makes it difficult to generate convincing policy prescriptions; second, the literature has tended to focus on ex-post interventions that kick in only after an interbank disruption has come underway (e.g., open-market operations, lender-of-last-resort interventions, bail-outs), rather than ex-ante prudential policies. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G0, G01, G2, G20 Research Theme(s): Financial system, Financial stability and systemic risk, Financial system regulation and oversight