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This study investigates how extreme flood events can indirectly impact the global supply chain through production disruptions. The findings emphasize that the size of inventories is crucial; a lean-inventory system leads to faster shock propagation, higher losses, and fewer recoveries compared to an abundant-inventory system.

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.

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.

This paper develops a stress-testing framework in which banks strategically adjust their balance sheets in response to regulatory constraints and market conditions. Applied to Canada’s largest banks, it quantifies the effects of macroprudential policies on lending and identifies systemic vulnerabilities through reverse stress testing.

In a dynamic model with limited commitment, aggregate payout-based compensation induces managers to raise outside equity yet invest too little today. Per-share compensation eliminates the dilution motive and restores efficient investment, but it does so through slower capital accumulation that better protects incumbent shareholder value.

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.

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.

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.

This policy note examines how a non-interest-bearing retail central bank digital currency (CBDC) could affect the financial stability of Canada’s systemically important banks during a severe recession. Stress test results show that the banks remain resilient, maintaining key regulatory ratios even under high CBDC demand.