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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.

Gordon Thiessen, Governor of the Bank of Canada, delivered the HERMES-Glendon Lecture at York University, Toronto, in March 1995. The speech focussed on the interrelationships of uncertainty and the transmission of monetary policy to the economy. It looked at how the various types of uncertainty influence the behaviour of economic actors, and at how uncertainty affects the transmission of monetary policy through the economy. The first part of the lecture outlines the Bank of Canada's view of the transmission mechanism, with considerable attention paid to the role of uncertainty. In the second part, the various ways in which the Bank has tried to reduce uncertainty are discussed. The various kinds of uncertainty that impinge on the economy and on the policy process are addressed.

The objective of this article is to improve our understanding of counterfeiting and its policy implications by reviewing research in this area. There has been almost no empirical work on counterfeiting because of the limited availability of counterfeiting data and related statistics. The authors therefore focus on theoretical studies that directly model the behaviour of the relevant economic agents. They first establish some stylized facts about counterfeiting to provide a general understanding of the problem. They then briefly review several models of counterfeiting and summarize their relevant insights, focusing on the implications of the findings for the incentive to counterfeit, social welfare and anti-counterfeiting policies. The authors find that the policy implications of these studies support the Bank’s comprehensive anti-counterfeiting strategy.

During the COVID-19 financial market crisis, central banks introduced programs to support liquidity in important core funding markets. As well as acting as a backstop to market prices, these programs produce useful trading data on prevailing market conditions. When summary information from this data is shared publicly, it can help market participants understand current conditions and aid the recovery of market functioning.

We use a method similar to Google's PageRank procedure to rank banks in the Canadian Large Value Transfer System (LVTS). Along the way we obtain estimates of the payment processing speeds for the individual banks.

We use retail payment data in conjunction with machine learning techniques to predict the effects of COVID-19 on the Canadian economy in near-real time. Our model yields a significant increase in macroeconomic prediction accuracy over a linear benchmark model.

The world needs an international institution to promote a new monetary order—a well-functioning, market-based global financial system. This will be the subject of my remarks today.

I study a model of competing data intermediaries (e.g., online platforms and data brokers) that collect personal data from consumers and sell it to downstream firms.

Deputy Governor Sharon Kozicki talks about how the Bank of Canada is using non-traditional data to better inform its monetary policy decisions.

Since 2022, consumer inflation expectations have shifted, with a significant increase in those expecting high inflation in the coming year and a surge in those expecting deflation further in the future. Using data from the Canadian Survey of Consumer Expectations, this paper seeks to assess the factors that influence people to expect high inflation, moderate inflation or deflation.