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2166 Results

The Bank of Canada’s “Horse Race” of Alternative Monetary Policy Frameworks: Some Interim Results from Model Simulations

Staff discussion paper 2021-13 José Dorich, Rhys R. Mendes, Yang Zhang
Bank of Canada staff are running a “horse race” of alternative monetary policy frameworks in the lead-up to 2021 renewal of the Bank’s monetary policy framework. This paper summarizes some interim results of model simulations from their research.

Differentiable, Filter Free Bayesian Estimation of DSGE Models Using Mixture Density Networks

Staff working paper 2025-3 Chris Naubert
I develop a method for Bayesian estimation of globally solved, non-linear macroeconomic models. The method uses a mixture density network to approximate the initial state distribution. The mixture density network results in more reliable posterior inference compared with the case when the initial states are set to their steady-state values.

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

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.

Net Send Limits in the Lynx Payment System: Usage and Implications

Staff discussion paper 2025-13 Virgilio B Pasin, Anna Wyllie
We study how participants in the Lynx payment system use the net send limit (NSL) tool to control their intraday payment outflow levels. Our results show that participants typically adopt a “set it and forget it” approach to scheduling NSLs and sometimes have distinct intraday NSL adjustment behaviours.

The Trend Unemployment Rate in Canada: Searching for the Unobservable

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.
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.
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 […]

Monetary Policy in an AI-Driven Two-Speed Economy

Staff working paper 2026-27 Joshua Brault, Maryam Haghighi, Jing Yang
We analyze monetary policy responses to AI in a two-sector New Keynesian model, distinguishing augmentation and automation. Both reduce labor demand, requiring accommodation that creates inflation trade-offs. Automation worsens them. Aggregate inflation depends on AI’s form and breadth, making policy stabilization more complex and aggregate data potentially misleading.
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