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February 10, 2021

Payments innovation beyond the pandemic

Remarks (delivered virtually) Timothy Lane Institute for Data Valorisation Montréal, Quebec
Deputy Governor Timothy Lane talks about how the Bank of Canada is contributing to the modernization of our payments ecosystem, and how the COVID-19 pandemic has highlighted the need to make payments more convenient for all Canadians.

Communicating Uncertainty in Monetary Policy

Staff discussion paper 2017-14 Sharon Kozicki, Jill Vardy
While central banks cannot provide complete foresight with respect to their future policy actions, it is in the interests of both central banks and market participants that central banks be transparent about their reaction functions and how they may evolve in response to economic developments, shocks, and risks to their outlooks.

The Digital Economy—Insight from a Special Survey with IT Service Exporters

Staff discussion paper 2016-21 Wei Dong, James Fudurich, Lena Suchanek
Information technology (IT) is an increasingly integral part of everyday business and personal life reflecting the ongoing and accelerating digital transformation of the economy. In this paper, we present information gathered from a survey with export-oriented firms in the Canadian IT service industry and consultations with industry associations aimed at shedding light on this small but highly dynamic sector.
October 22, 2006

ToTEM: The Bank of Canada's New Projection and Policy-Analysis Model

The Terms-of-Trade Economic Model, or ToTEM, replaced the Quarterly Projection Model (QPM) in December 2005 as the Bank's principal projection and policy-analysis model for the Canadian economy. Benefiting from advances in economic modelling and computer power, ToTEM builds on the strengths of QPM, allowing for optimizing behaviour on the part of firms and households, both in and out of steady state, in a multi-product environment. The authors explain the motivation behind the development of ToTEM, provide an overview of the model and its calibration, and present several simulations to illustrate its key properties, concluding with some indications of how the model is expected to evolve going forward.
June 22, 2011

Financial System Review - June 2011

Financial System Review - June 2011
In this issue of the Financial System Review, the Bank of Canada’s Governing Council judges that, although the Canadian finan­cial system is currently on a sound footing, risks to its stability remain elevated and have edged higher since December 2010.

Competing Currencies in the Laboratory

Staff working paper 2017-53 Janet Hua Jiang, Cathy Zhang
We investigate competition between two intrinsically worthless currencies as a result of decentralized interactions between human subjects. We design a laboratory experiment based on a simple two-country, two-currency search model to study factors that affect circulation patterns and equilibrium selection.

A Reference Guide for the Business Outlook Survey

Staff discussion paper 2020-15 David Amirault, Naveen Rai, Laurent Martin
The Business Outlook Survey (BOS) has become an important part of monetary policy deliberations at the Bank of Canada and is also well known in Canadian policy and financial circles. This paper compiles more than 20 years of experience conducting the BOS and serves as a comprehensive reference manual.

Assessing tariff pass-through to consumer prices in Canada: Lessons from 2018

Staff analytical note 2025-18 Alexander Lam
US trade protectionism is making the economic outlook increasingly uncertain. To assess how consumer prices may respond to tariffs, we examine a tariff episode from 2018 using detailed microdata and the synthetic control method.

Estimating Discrete Choice Demand Models with Sparse Market-Product Shocks

Staff working paper 2025-10 Zhentong Lu, Kenichi Shimizu
We propose a novel approach to estimating consumer demand for differentiated products. We eliminate the need for instrumental variables by assuming demand shocks are sparse. Our empirical applications reveal strong evidence of sparsity in real-world datasets.
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