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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.

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.

First, I should explain what I mean by flexibility. As most of you are surely aware, the Bank of Canada has been openly discussing the importance of promoting policies that support economic efficiency, including financial system efficiency. Efficiency refers to the allocation of scarce economic resources to the most productive uses, in a cost-effective way.

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.

Household savings in Canada have increased significantly since 2019, especially among homeowners without a mortgage. We assess how savings buffers can mitigate households’ financial risk in relation to asset repricing, mortgage payment renewal and unemployment.

Deputy Governor Lawrence Schembri discusses the historical evolution and future prospects for Canadian exports.

We propose a model to understand low observed migration rates by considering the interaction between location and wealth decisions. We look at different policies and find that temporary moving vouchers only slightly increase welfare, while lower housing regulations can decrease the welfare gap by lowering house prices nationwide.

Crowdfunding may enable unique products to reach the consumer market. I model a crowdfunding technology that publicly screens consumer demand early in the production process. In this model, entrepreneurs like crowdfunding for risky projects where demand is uncertain, but not for large, safe projects or for projects where production costs are uncertain.

This note examines the relatively subdued pace of wage growth in Canada since the commodity price decline in 2014 and assesses whether the weakness is attributable to cyclical (e.g., labour market slack) or structural factors (e.g., resource reallocation and demographic change).

Indeed, the global financial crisis of the past two years has presented unique, stressful challenges that have forced us all to assess what has worked well and what needs to change. Today, I would like to review some of the critical thinking around these issues, primarily from the perspective of our work at the Bank of Canada.