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Narrow Money—Transactions Money The growth rate of the narrow monetary aggregates picked up in 1999, reflecting the expansion in economic activity and the stabilization of interest rates. The sharp acceleration of the narrow aggregates in recent months suggests buoyant growth in GDP in coming quarters. Signs of a possible rise in inflation are also emerging. Over the longer run, for inflation to remain in the Bank's 1 to 3 per cent target range, the growth of narrow money would have to slow down from its current pace. In 1999, the growth rate of M1 also began to converge with that of the other narrow aggregates, M1+ and M1++. This suggests that the influence of the special factors that have been affecting the growth rate of M1 has diminished. Broad Money—"Store of Value" Household savings represent deferred consumption, and therefore the broad monetary aggregate provides information about future spending and, hence, inflation. In 1999, the very broad measure of money, M2++, grew at much the same rate as it did in 1998. This outcome is in line with inflation remaining in the inflation-control target range over the next couple of years.

We study competition for consumer attention, in which platforms can sacrifice service quality for attention. A platform can choose the “addictiveness” of its service.

Cash is the preferred method of payment for small value transactions generally less than $25. We provide insight to this finding with a new theoretical model that characterizes and compares consumers’ costs of paying with cash to paying with cards for each transaction.

The countercyclical capital buffer is part of Basel III, the set of regulatory measures developed in response to the financial crisis of 2007–09. This study focuses on how time-varying capital buffers can address inefficiencies in economies with endogenous financial crises.

We estimate the effect that owning Bitcoin has on the amount of cash held by Canadian consumers. Our results question the view that adopting certain new technologies, such as Bitcoin, leads to a decline in cash holdings.

Dynamic general-equilibrium models (DGEMs) are being increasingly used in macroeconomic research. In this article, the author describes the main features of these models and outlines their contribution to economic research performed at the Bank of Canada. He notes that the basic principle of DGEMs is that the modelling of economic activity, even on a scale as large as the economy of a country, should start with a series of microeconomic problems (at the scale of individuals), which, once resolved, are aggregated to represent the macroeconomic reality described by the model.

We demonstrate the usefulness of payment systems data and machine learning models for macroeconomic predictions and provide a set of econometric tools to overcome associated challenges.

In complex and interconnected banking systems, counterparty risk does not depend only on the risk of the immediate counterparty but also on the risk of others in the network of exposures.

Using highly disaggregated transaction-level trade data, we document the importance of new firm-level trade partner relationships and the addition of new products to existing relationships in driving aggregate trade flows.

We ask whether a weaker contribution of information and communication technologies (ICT) to productivity growth could account for the productivity slowdown observed in Canada since the early 2000s. To answer this question, we consider several methods capturing channels through which ICT could affect aggregate productivity growth.