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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.
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.
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…
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.
This paper studies how a central bank should design a CBDC when private payment providers collect and monetize transaction data. It characterizes the optimal CBDC’s pricing and data policy, and shows how its effects on private payment use and total data depend on market power and data externalities.
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.