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Over the past 20 years, there has been a major shift away from the use of paper-based retail payment instruments, such as cash and cheques, toward electronic means of payment, such as debit cards and credit cards. Recent Bank of Canada research on consumers’ choice of payment instruments indicates that cash is frequently used for transactions with low values because of its speed, ease of use and wide acceptance, while debit and credit cards are more commonly used for transactions with higher values because of perceived attributes such as safety and record keeping. While innovations in retail payments currently being introduced into the Canadian marketplace could lead to a further reduction in the use of cash over the longer term, the implications for the use of cash of some of the structural and regulatory developments under way are less clear.

In this analysis, we use simulations in the Bank of Canada’s projection model—the Terms-of-Trade Economic Model—to consider a suite of extended monetary policies to support the economy following the COVID-19 crisis.

This paper reviews how central banks are integrating non traditional data and artificial intelligence (AI) into policy analysis and operations. Using the Bank of Canada’s experience, it examines emerging applications, governance challenges, and strategic choices for responsibly scaling AI to enhance insight, efficiency, and institutional resilience.

Many central banks are considering issuing a central bank digital currency (CBDC). This would introduce a new policy tool—interest on CBDC. We investigate how this new tool would interact with traditional monetary policy tools, such as the interest on central bank reserves.

Central banks can implement unconventional monetary policy measures to provide additional easing when policy interest rates come close to their lower limit. To date, the international experience with tools such as quantitative easing and negative interest rates has been largely positive. Central banks may also use several such measures simultaneously, with often mutually reinforcing effects. Yet, unconventional tools are also subject to potential limits, and the costs associated with these measures could rise with extensive and prolonged use.

Using data on bank branch locations across Canada from 2008 to 2018, we explore an interesting aspect of bank branch competition—geographic concentration. We find that bank branch density does not correlate with geographic and market concentration; however, we do find strong correlation with postal-code demographics.

Inflation expectations are a key determinant of actual and future inflation and thus matter for the conduct of monetary policy. We study how firms form their inflation expectations using quarterly firm-level data from the Bank of Canada’s Business Outlook Survey, spanning the 2001 to 2015 period.

This paper attempts to borrow the tradition of estimating policy reaction functions in monetary policy literature and apply it to capital controls policy literature. Using a novel weekly dataset on capital controls policy actions in 21 emerging economies over the period 1 January 2001 to 31 December 2015, I examine the mercantilist and macroprudential motivations for capital control policies.

The Bank of Canada’s annual conference, held in October 2010, brought together leading researchers from universities and central banks around the world.

Cover page

Decimalization in Great Britain

The Victorian florin on the cover is part of the National Currency Collection of the Bank of Canada.