Staff working papers

Using Canadian firm-level market shares and an oligopolistic model, the paper shows that a 25% counter-tariff on U.S. imports raises Canada's aggregate price index by 0.66%, far below direct cost pass-through predictions due to consumer substitution and markup adjustments.

We develop a framework to quantify how tariff changes on imported goods affect sectoral and aggregate consumption prices through direct and production-network channels. Using Canada's input-output matrix and administrative firm-good import data for the universe of Canadian firms, we estimate price elasticities for tariffs on U.S.-imported goods.

This paper examines the direct effects of industrial robot adoption on workers and owners within Canadian private corporations. Adoption increases firm scale and per-worker payroll but does not decrease the labor share of value added. Conventional accounting of labor income earned by owners masks the impact on non-owner workers.

Portfolio-balance models of the yield curve are notoriously hard to estimate. This paper offers a simple, two-step estimation approach that can be implemented with standard term structure estimation methods. In our application to U.S. Treasury data, our method recovers economically interpretable drivers of the yield curve.

Building on our earlier quantum algorithm, this paper shows that reordering queued payments can significantly reduce liquidity needs. The algorithm performs well on smaller payment batches, while traditional algorithms can process larger batches and deliver greater savings. Machine learning also helps identify which payment patterns offer the greatest potential for improvement.

We document the macroeconomic patterns that characterize labor market recovery from financial crises. Using a sample of postwar recession episodes from around the world, we show that financial crises are typically followed by jobless recoveries, with a sluggish recovery in employment relative to output.

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.

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.