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2121 Results

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

Housing and Tax-Deferred Retirement Accounts

Staff working paper 2016-24 Anson T. Y. Ho, Jie Zhou
Assets in tax-deferred retirement accounts (TDA) and housing are two major components of household portfolios. In this paper, we develop a life-cycle model to examine the interaction between households’ use of TDA and their housing decisions.

Nowcasting Canadian GDP with Density Combinations

Staff discussion paper 2022-12 Tony Chernis, Taylor Webley
We present a tool for creating density nowcasts for Canadian real GDP growth. We demonstrate that the combined densities are a reliable and accurate tool for assessing the state of the economy and risks to the outlook.

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.

International Economic Sanctions and Third-Country Effects

Staff working paper 2023-46 Fabio Ghironi, Daisoon Kim, Galip Kemal Ozhan
We study the transmission and third-country effects of international sanctions. A sanctioned country’s losses are mitigated, and the sanctioning country’s losses amplified, if a third country does not join the sanctions, but the third country benefits from not joining.
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 […]
December 8, 2006

Perspectives on Productivity and Potential Output Growth: A Summary of the Joint Banque de France/Bank of Canada Workshop, 24–25 April 2006

A nation's productivity is the prime determinant of its real incomes and standard of living, as well as being a major determinant of its potential output. In the short run, deviations of actual output from potential output are a useful indicator of inflationary pressures. This article is a short summary of the proceedings of the workshop, which focus on productivity and potential output growth among industrialized countries. The research is organized under three main themes: estimating potential growth; productivity and growth; and institutions, policies, and growth.
November 17, 2016

Bank of Canada Review - Autumn 2016

What is the role of central banks in financial stability? How has this role changed in recent years? Bank researchers share their insights on this matter and provide an overview of recent changes the Bank has made to its Emergency Lending Assistance Policy. Researchers also provide a history of four major commodity supercycles, dating back to the early 1900s. Finally, there is discussion about structural reforms in emerging-market economies, such as China, and how these reforms influence potential growth.

Assessing Global Potential Output Growth: April 2019

This note presents the updated estimates of potential output growth for the global economy through 2021. Global potential output is expected to grow by 3.3 per cent per year over the projection horizon.

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.
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