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We show how Canadian mortgage debt dynamics can be modelled in a semi-structural macroeconomic model, such as the Bank of Canada’s LENS. The model we propose accounts for Canada’s unique mortgage debt structure.

We examine the value of direct communication to households about inflation and the uncertainty around inflation statistics. All types of information about inflation are effective at immediately managing inflation expectations, with information about outlooks being more effective and relevant than that about recent inflation and Bank targets.

Perceived income risks reported in a survey of consumer expectations are more heterogeneous and, on average, lower than indirectly calibrated risks based on panel data. They prove to be one explanation for why a large fraction of households hold very little liquid savings and why accumulated wealth is widely unequal across households.

This paper presents two complementary approaches to estimating the appropriate quantity of settlement balances needed to effectively operate monetary policy under a floor system in Canada.

Several measures suggest economic outcomes have improved for Indigenous Peoples in recent decades. Yet, institutional settings and gaps in infrastructure and financing continue to hinder their economic progress. Recent efforts have helped address some data gaps, and new institutions are helping Indigenous communities to overcome historic barriers to growth.

The fourth generation of Bank of Canada projection and policy analysis models seeks to improve our understanding of inflation dynamics, the supply side of the economy and the underlying risks faced by policy-makers coming from uncertainty about how the economy functions.

Options markets offer unique insights into the changing risks different assets face, which helps us better understand the broader risks to the Canadian economy. We show how option prices help reveal that investors did not anticipate large downside risks to either major Canadian banks or economic growth during the March 2023 financial sector system stress, a period when policy-makers and investors were unsure of what the future held for Canada’s economy.

This paper studies exchange rate dynamics by incorporating bounded rationality, that is, limited foresight, in a small open-economy model. This behavior of limited foresight helps explain several observations and puzzles in the data of exchange rate movements.

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.

Valuation ratios in the Canadian stock market can help reveal investors’ expectations about future economic growth because the impact of economic growth on valuation ratios can vary across industries. We find that this variation helps produce accurate forecasts of future growth of real gross domestic product in Canada. The forecasts from our model declined by just over 3 percentage points between January 2022 and February 2023—a period when the Bank of Canada rapidly increased the overnight rate. As well, we find that interest-rate-sensitive industries had an outsized contribution to this expected slowdown in growth.