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The persistence of both core and total consumer price index inflation in Canada has declined significantly since the 1980s. In addition to providing up-to-date estimates of inflation persistence, this article examines possible reasons for the decline suggested in the literature. The role played by monetary policy, through its effect on price- and wage-setting behaviour, is distinguished from possible changes to the structure of the economy that are independent of monetary policy. The authors also discuss the implications for monetary policy of low structural persistence in inflation, including the choice of an inflation-targeting regime versus a price-level-targeting regime.

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.

Our paper employs smartphone data to construct an improved cash access metric by accounting for both spatial agglomeration and households’ travel patterns. We find that incorporating trip-chaining into the travel metric could show that travel costs are from 15 to 25% less than not incorporating trip-chaining and that the biggest decrease is driven by rural residents.

Flood, Morin, and Kolet examine the role of house prices in household consumption decisions. Considering a group of advanced economies, the authors find that the strength of the link between house prices and consumer spending depends on the institutional features of national mortgage markets.

We are experiencing a commodity super cycle. Throughout the current boom, the scale of price increases has been higher, and the range of affected commodities broader, than in previous upturns. Since 2002, grain and oilseed prices have more than doubled, base metals prices have tripled, and oil prices have quadrupled.

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.

A series of major international financial crises in the 1990s, and the recent introduction of the euro, have renewed interest in alternative exchange rate systems. The choice of exchange rate regime is particularly relevant for emerging-market countries because other countries are perceived either as having no alternative to their current exchange rate arrangement or as highly unlikely to change. This article examines the evolution of exchange rate regimes in emerging markets over the past decade and compares the strengths and weaknesses of the various available systems. These include intermediate regimes, such as the adjustable pegged exchange rate popular throughout much of the post—war period, and the two extreme exchange rate regimes: permanently fixed or freely floating exchange rate regimes. Two recently proposed alternatives are also evaluated: the Managed Floating Plus and Baskets, Bands, and Crawling Pegs. Both try to combine the best elements of the flexible and fixed exchange rate systems, but the Managed Floating Plus is deemed to be the more promising alternative.

We analyze the evolution of macroeconomic uncertainty in the United States, based on the forecast errors of consensus survey forecasts of different economic indicators. Comprehensive information contained in the survey forecasts enables us to capture a real-time subjective measure of uncertainty in a simple framework.

We use a new real-time database for Canada to study various output gap measures. This includes recently developed measures based on models incorporating many variables as inputs (and therefore requiring real-time data for many variables).

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.