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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.

This note uses detailed expenditure data to decompose Canadian inflation into supply- and demand-driven components. The analysis sheds light on the drivers of post-pandemic inflation and shows that monetary policy primarily affects and responds to demand-driven inflation.

How do import tariffs affect retail prices? We combine daily product-level posted prices from seven major Canadian retailers with product-level tariff exposure to estimate tariff effects. Prices of tariffed goods rose gradually, peaking at 6% after three months, implying pass-through of roughly one quarter of the 25% tariff.

We construct a macroeconomic estimate of total AI production in the United States, combining inference and R&D/training activities with quality adjustments to account for algorithmic progress. We then develop a nascent framework for "AI GDP" that tracks the AI economy as a coherent whole, complementing traditional national accounts.

Businesses that can’t easily access credit experience slower growth. Indigenous-owned firms are less likely than other firms in Canada to use conventional lending products—like loans or lines of credit from banks. We look at why Indigenous-owned businesses may face barriers to accessing credit.