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This article describes experimental economics, in general, and new developments in experimental macroeconomics, in particular. The approach has a clear niche in providing evidence on economic phenomena that cannot be observed directly or that are difficult to measure. Experimental work conducted by Bank of Canada economists has shed light on a number of issues important to monetary policy, such as the relative efficacy between price-level and inflation targeting, and the nature of inflation expectations formation.

This issue features a summary of the Bank’s annual conference, which took place in November 2011 and dealt with payments systems, and two articles that present research by Bank staff on global current account imbalances and macrofinancial risk assessment. The fourth article in this issue reviews the recent experience with inflation targeting.

Understanding the factors that determine the migration of labour between regions is crucial for assessing the economy’s response to macroeconomic shocks and identifying policies that will encourage an efficient reallocation of labour. By examining the determinants of migration within Canada from 1991 to 2006, this article provides evidence that regional differences in employment rates and household incomes tend to increase labour migration, and that provincial borders and language differences are barriers to migration.

The third strategy employed by the Bank when dealing with uncertainty is the consideration of appropriate simple reaction functions or "rules" for the setting of the policy interest rate. Since John Taylor's presentation of his much-discussed rule, research on simple policy rules has exploded. Simple rules have several advantages. In particular, they are easy to construct and communicate and are believed by some to be robust, in the sense of generating good results in a variety of economic models. This article provides an overview of the recent research regarding the usefulness and robustness of simple monetary policy rules, particularly in models of the Canadian economy. It also describes and explains the role of simple rules in the conduct of monetary policy in Canada.

Can artificial intelligence (AI) think and act like a cash manager? In this paper we explore how generative AI agents can help manage liquidity, prioritize payments and optimize efficiency in real-time gross settlement systems.

Cover page

French Provincial Issues in Canada

The coins pictured on the cover are part of the National Currency Collection, Bank of Canada.
Photography by Gord Carter, Ottawa.

Although many countries have abandoned monetary targeting in recent decades, monetary aggregates are still useful indicators of future economic activity. Past research has shown that, compared with other monetary aggregates and expressed in real terms, net M1 and gross M1 have traditionally provided superior leading information for output growth.

The financial crisis of 2007-09 and the subsequent extended period of historically low real interest rates have revived the question of whether economic agents are willing to take on more risk when interest rates remain low for a prolonged time period. This increased appetite for risk, which causes economic agents to search for investment assets and strategies that generate higher investment returns, has been called the risk-taking channel of monetary policy. Recent academic research on banks suggests that lending policies in times of low interest rates can be consistent with the existence of a risk-taking channel of monetary policy in Europe, South America, the United States and Canada. Specifically, studies find that the terms of loans to risky borrowers become less stringent in periods of low interest rates. This risk-taking channel may amplify the effects of traditional transmission mechanisms, resulting in the creation of excessive credit.