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How much discretion should local financial regulators in a banking union have in accommodating local credit demand? I analyze this question in an economy where local regulators privately observe expected output from high lending. They do not fully internalize default costs from high lending since deposit insurance cannot be priced fairly.

The dramatic growth in China's exports of consumer goods such as clothing, toys, and electronics, and imports of primary commodities such as oil and metals is having major effects on global supply and demand. In examining China's role in global relative price changes, Francis finds that downward pressure on the relative prices of consumer goods is likely to persist as China's large labour supply continues its migration into manufacturing. Likewise, China's size and growth will also remain key drivers of global commodities demand for some time. Despite these forces, inflation-targeting central banks have the tools to keep inflation close to target, thus offsetting any persistent upward or downward inflationary pressure.

Standard theories of price adjustment are based on the problem of a single-product firm, and therefore they may not be well suited to analyze price dynamics in the economy with multiproduct firms.

We explain how housing supply elasticities for Canadian cities are estimated. The procedure we use exploits the systematic differences in various cities’ sensitivity to regional house-price cycles.

This article reviews recent work that uses principal-component analysis to extract information common to indicators from the Bank of Canada’s Business Outlook Survey (BOS). The authors use correlation analysis and an out-of-sample forecasting exercise to assess and compare the information content of the principal component with that of responses to key individual survey questions on growth in real gross domestic product and in real business investment. Results suggest that summarizing the common movements among BOS indicators may provide useful information for forecasting near-term growth in business investment. For growth in real gross domestic product, however, the survey’s balance of opinion on future sales growth appears to be more informative.

The formulation of monetary policy at the Bank of Canada relies on the analysis of a broad set of economic information. Greater availability of immediate and detailed information would improve real-time economic decision making. Technological advances have provided an opportunity to exploit “big data” - the vast amount of digital data from business transactions, social media and networked computers. Big data can be a complement to traditional information sources, offering fresh insight for the monitoring of economic activity and inflation.

When countries are hit by supply shocks, central banks often face the dilemma of either looking through such shocks or reacting to them to ensure that inflation expectations remain anchored. In this paper, we propose a tractable framework to capture this dilemma and then explore optimal policy under a range of assumptions about how expectations are formed.

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.

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.

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.