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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.

The author uses a quantitative network analysis approach to assess how participants in the Large Value Transfer System (LVTS) respond to partial outages at other banks.

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.

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.

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.

The magnitude and frequency of recent financial crises underscore the importance of understanding financial instability for the purpose of crisis prevention and crisis management.

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.

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.

In many industries, firms usually have two choices when expanding into new markets: They can either build a new plant (greenfield entry) or they can acquire an existing incumbent. In the U.S. cement industry, the comparative advantage (e.g., TFP or size) of entrants versus incumbents and regulatory entry barriers are important factors that determine the means of expansion.

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.