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Supply disruptions were a key driver of inflation during the pandemic. If such disruptions occur more often in the future, they could lead to more frequent and persistent periods of high inflation. Central banks could then find it harder to bring inflation back to target while supporting economic activity.

We present a measure of account-level credit card spending constructed using credit bureau microdata, capturing monthly spending for approximately 80% of adults in Canada. Our measure offers higher frequency than other publicly available consumption metrics, and can be disaggregated by age, geographic location and credit history.

This paper shows that consumption activities toward which households reallocate more time in recessions see larger expenditure declines, revealing a systematic link between time-use and expenditure cyclicality. A two-sector New Keynesian model shows this time-expenditure substitution explains roughly forty percent of consumption's response to monetary policy shocks.

In this note we examine how monetary policy affects housing demand, supply and prices in Canada, and whether these effects vary with labour market conditions

Natural disasters can create important challenges for monetary policy in resource-rich small open economies. Using a DSGE model calibrated to Canada, we show that most disasters operate as adverse supply shocks, lowering output and raising inflation, thereby creating a trade-off for monetary policy.

We analyze monetary policy responses to AI in a two-sector New Keynesian model, distinguishing augmentation and automation. Both reduce labor demand, requiring accommodation that creates inflation trade-offs. Automation worsens them. Aggregate inflation depends on AI’s form and breadth, making policy stabilization more complex and aggregate data potentially misleading.

Rising volatility and structural shifts—deglobalization, climate risks, and AI—are reshaping inflation and policy trade-offs. Evidence suggests central banks can accommodate supply-driven inflation while balancing inflation and output, as long as expectations stay anchored and policy reflects shock size, persistence, and broader economic conditions.

Households report distinctive views of the macroeconomy along partisan lines, while their expectations about personal finances do not follow the same pattern. Economic inequality remains the major contributor to polarized views of the macroeconomy. Partisan politics are simply a magnifier.

After the war in the Middle East began, futures markets hinted at how long oil prices could stay above their pre-war levels. Options on those futures further reveal how investors see the range and balance of risks around future oil prices—which helps central banks assess risks to inflation.

This paper develops Monte Carlo likelihood-ratio tests for determining the number of regimes in Markov switching models. Unlike most existing procedures, which focus on testing one versus two regimes, the proposed methods allow testing an arbitrary number of regimes. They are valid in finite samples, robust to identification problems, and applicable to nonstationary, multivariate, and Markov switching GARCH models.