Firm Heterogeneity, Technological Adoption, and Urbanization: Theory and Measurement Staff working paper 2017-27 Alex Chernoff This paper develops a model of firm heterogeneity, technological adoption, and urbanization. In the model, welfare is measured by household real income, and urbanization is measured by population density. I use the model to derive statistics that measure the effect of a new technology on productivity, welfare, and urbanization. Content Type(s): Staff research, Staff working papers JEL Code(s): N, N6, N61, O, O1, O14, R, R1, R13 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Digitalization and productivity
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 Application of Shapley Value Cost Allocation to Liquidity Savings Mechanisms Staff working paper 2019-26 Rodney J. Garratt Liquidity demands in real-time gross settlement payment systems can be enormous. To reduce the liquidity requirement, central banks around the world have implemented liquidity savings mechanisms (LSMs). Content Type(s): Staff research, Staff working papers JEL Code(s): C, C7, C72, E, E5, E58 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Payment and financial market infrastructures
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.
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
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
August 16, 2012 Bank of Canada Review - Summer 2012 This issue features three articles that present research and analysis by Bank of Canada staff. The first updates previous Bank estimates of measurement bias in the Canadian consumer price index; the second uses a new term-structure model to analyze the relationship between the short-term policy rate and long-term interest rates; and the third examines indicators of balance-sheet risks at financial institutions in Canada. Content Type(s): Publications, Bank of Canada Review
November 17, 1999 Monetary Policy Report – November 1999 Since the May Report, the international economic environment has continued to improve. Economic activity abroad grew faster than expected, while inflation in the major economies remained subdued. Content Type(s): Publications, Monetary Policy Report
High-Frequency Trading and Institutional Trading Costs Staff working paper 2018-8 Marie Chen, Corey Garriott Using data on Canadian bond futures, we examine how high-frequency traders (HFTs) interact with institutions building large positions. In contrast to recent findings, we find HFTs in the data act as small-sized liquidity suppliers, and we reject the hypothesis that they engage in back running, a predatory trading strategy. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G1, G14, G2, G20, L, L1, L10 Research Theme(s): Financial markets and funds management, Market functioning, Market structure
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