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Combining various high frequency financial data with central bank projections, I construct a new measure of monetary policy shocks not predictable by the public information preceding a central bank’s announcements. I then study the causal effects of monetary policy on the macro economy.

We explore the implications of digitalization for monetary policy, both in terms of how monetary policy affects the economy and in terms of data analysis and communication with the public.

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.

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.

Understanding how much of the increased debt load of Canadian households has been used to finance household spending on consumption and home renovation is important for the conduct of monetary policy. In this article, the authors use a comprehensive data set that provides information on the uses of debt by Canadian households. They first present some facts regarding the evolution of Canadian household debt over the period from 1999 to 2010, emphasizing the increased importance of debt flows that are secured by housing. They then explore how Canadian households have used their borrowed funds over the same period, and assess the role of these borrowed funds in financing total consumption and spending on home renovation. Finally, they examine the possible effects of a decline in house prices on consumption when housing equity is used as collateral against household indebtedness.

I propose a novel method to identify and estimate the macroeconomic effects of forward guidance and large-scale asset purchases (LSAP) for each FOMC announcement. I find that LSAP is more important than forward guidance in influencing output and inflation. LSAP puts upward pressure on short-term yields, so it should always be used in conjunction with forward guidance.

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.

We present key results from the 2023 Methods-of-Payment Survey. Results show that measures of cash management and use have remained stable since 2020, and that Canadians increased their adoption of payment alternatives such as mobile apps in 2023.

We construct new indicators of demand and supply for the Canadian economy by using natural language processing techniques to analyze earnings calls of publicly listed firms. Our results indicate that the new indicators could help central banks identify inflationary pressures in real time.