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186 Results

Tracking Heterogeneous Spending Patterns with Credit Card Microdata

Staff analytical paper 2026-38 Jia Qi Xiao, Jackson Reid, Joey Daniels
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.

Time Use and Consumption Expenditures

Staff working paper 2026-29 Daniela Hauser, Stefano Gnocchi, Laure Simon
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.

Monetary Policy in an AI-Driven Two-Speed Economy

Staff working paper 2026-27 Joshua Brault, Maryam Haghighi, Jing Yang
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.

Seeing the Economy through Colored Glasses: Partisanship in Macro and (not in) Micro Expectations

Staff working paper 2026-24 Adrian Monninger, Kyung Woong Koh, Tao Wang
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.

Measuring the AI Economy

Staff working paper 2026-20 Anton Korinek, Patrick McKelvey
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.

Survey Evidence on Firm AI Adoption and its Implications

Staff analytical paper 2026-22 Chanya Chawla, Crystal Arnburg
This paper analyzes AI adoption among Canadian firms using December 2025 Business Leaders’ Pulse data. It finds that while personal use is widespread, operational adoption remains limited. Firms expect modest positive impacts on capital spending and small net negative effects on employment over the next three years.
Content Type(s): Staff research, Staff analytical paper JEL Code(s): E, E0, E2, E22, E24, O, O3, O33 Research Theme(s): Structural challenges, Digitalization and productivity

Assessing global potential output growth: April 2026

We present the annual update of the Bank of Canada staff estimates for global potential output growth. These estimates served as key inputs to the analysis supporting the April 2026 Monetary Policy Report.

Potential output in Canada: 2026 assessment

Growth in potential output is expected to drop from 2.3% in 2025 to 1.2% in 2026 given slowing population growth, US tariffs and trade policy uncertainty. It is then estimated to pick up to an average of 1.5% over 2027–29 as strengthening business and government investment supports trend labour productivity (TLP). Gradual adoption of artificial intelligence is also expected to lift TLP growth over the projection horizon.

Inflation vs Inclusion: Stabilization Policy in the Wake of the Pandemic

Staff working paper 2026-13 Felipe Alves, Giovanni L. Violante
As the economy emerges from a crisis, macroeconomic policy confronts a dilemma: a protracted stimulus can foster a more inclusive labor market recovery, yet risks igniting inflation that ultimately undermines workers’ welfare through real income erosion. This tension amplifies in the presence of the ZLB and aggregate capacity constraints. We embed this insight into a quantitative model of the US economy.

Supply Shocks in the Fog: The Role of Endogenous Uncertainty

Staff working paper 2026-12 Anastasiia Antonova, Mykhailo Matvieiev, Celine Poilly
Recessions feature elevated uncertainty. We develop a nonlinear imperfect-information New Keynesian model where procyclical information quality generates endogenous countercyclical uncertainty and precautionary saving. This demand channel can overturn the inflationary impact of negative supply shocks, making them deflationary, unless monetary policy stabilizes the output gap.
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