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2172 Results

Allocative Efficiency and the Productivity Slowdown

Staff working paper 2021-1 Lin Shao, Rongsheng Tang
In our analysis of the US productivity slowdown in the 1970s and 2000s, we find that a significant portion of this deceleration can be attributed to a lack of improvement in allocative efficiency across sectors. Our analysis further identifies increased sector-level volatility as a major contributor to this lack of improvement in allocative efficiency.

What Can Stockouts Tell Us About Inflation? Evidence from Online Micro Data

Staff working paper 2021-52 Alberto Cavallo, Oleksiy Kryvtsov
Did supply disruptions and cost pressures play a role in rising inflation in 2020 during the COVID-19 pandemic? Using data collected from websites of large retailers in multiple sectors and countries, we show that shortages may indicate transitory inflationary pressures.

Assessing the US and Canadian neutral rates: 2026 update

We assess the Canadian nominal neutral rate to be in the range of 2.25% to 3.25%, unchanged from our assessment in 2025. We assess the US nominal neutral rate to be in the range of 2.50% to 3.50%, somewhat higher than the range of 2.25% to 3.25% reported in the 2025 assessment.

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

Quantum Monte Carlo for Economics: Stress Testing and Macroeconomic Deep Learning

Using the quantum Monte Carlo algorithm, we study whether quantum computing can improve the run time of economic applications and challenges in doing so. We apply the algorithm to two models: a stress testing bank model and a DSGE model solved with deep learning. We also present innovations in the algorithm and benchmark it to classical Monte Carlo.

Systemic Risk and Portfolio Diversification: Evidence from the Futures Market

Staff working paper 2021-50 Radoslav Raykov
This paper explores how the Canadian futures market contributed to banks’ systemic risk during the 2008 financial crisis. It finds that core banks as a whole traded against the periphery, in this way increasing their risk of simultaneous losses.
February 5, 2026

Structural change—Canada at a crossroads

Remarks Tiff Macklem Empire Club of Canada Toronto, Ontario
Governor Tiff Macklem discusses how structural change—driven by U.S. protectionism, AI, and slowing population growth—is reshaping Canada’s economy. He outlines the Bank’s role in maintaining low and stable inflation while helping the economy through the transition.
November 28, 2017

Financial System Review - November 2017

This issue of the Financial System Review reflects the Bank’s judgment that the high level of household indebtedness and housing market imbalances remain the most important vulnerabilities. While these vulnerabilities are still elevated, improving economic conditions and recent changes to housing policy should support an easing of these vulnerabilities over time. A third vulnerability highlighted in the FSR concerns cyber threats and the interconnectedness of the financial system.
October 3, 2023

Understanding the unusual: How firms set prices during periods of high inflation

Remarks Nicolas Vincent Chamber of Commerce of Metropolitan Montreal Montréal, Quebec
Deputy Governor Nicolas Vincent discusses how firms set their prices and how pricing behaviour changed in our recent environment of high inflation.

Immigration and Provision of Public Goods: Evidence at the Local Level in the U.S.

Staff working paper 2023-57 Anna Maria Mayda, Mine Z. Senses, Walter Steingress
Using U.S. county-level data from 1990 to 2010, we study the causal impact of immigration on the provision of local public goods. We uncover substantial heterogeneity across immigrants with different skills and immigrants of different generations, which leads to unequal fiscal effects across U.S. counties.
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