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3904 Results

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.

Nowcasting Canadian Economic Activity in an Uncertain Environment

Staff discussion paper 2018-9 Tony Chernis, Rodrigo Sekkel
This paper studies short-term forecasting of Canadian real GDP and its expenditure components using combinations of nowcasts from different models. Starting with a medium-sized data set, we use a suite of common nowcasting tools for quarterly real GDP and its expenditure components.

Liquidity risks at Canadian life insurance companies

Staff analytical note 2024-7 Patrick Aldridge, Stephane Gignac, Rishi Vala, Adrian Walton
We examine how life insurers manage liquidity risks created by their business model. We find that Canadian life insurers did not face significant liquidity draws and continued their usual investment behaviour during the COVID-19 crisis and as interest rates increased in 2022.
December 17, 2000

Dynamic General-Equilibrium Models and Why the Bank of Canada is Interested in Them

Dynamic general-equilibrium models (DGEMs) are being increasingly used in macroeconomic research. In this article, the author describes the main features of these models and outlines their contribution to economic research performed at the Bank of Canada. He notes that the basic principle of DGEMs is that the modelling of economic activity, even on a scale as large as the economy of a country, should start with a series of microeconomic problems (at the scale of individuals), which, once resolved, are aggregated to represent the macroeconomic reality described by the model.
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