Dinah Maclean

As the ultimate provider of Canadian-dollar liquidity to the financial system, the Bank of Canada has the unique capacity to create Canadian-dollar claims on the central bank and the power to make secured loans or advances to chartered banks and other members of the Canadian Payments Association. The Bank supplies overnight credit on a routine basis through the Standing Liquidity Facility (SLF) to direct participants in the Large Value Transfer System, and Emergency Lending Assistance (ELA) to solvent deposit-taking institutions that require more substantial and prolonged credit. The authors review the policy framework that guides the Bank's lender-of-last-resort function, including the key issues, terms and conditions, and eligibility criteria associated with its SLF and ELA activities. Also discussed are foreign currency ELA, the relationship between SLF and ELA, systemic risk and Bank of Canada intervention, and the potential provision of liquidity to major clearing and settlement systems.

In recent years, the Bank has put renewed emphasis on analyzing monetary variables and on developing models that incorporate money as an active part of the transmission mechanism. In this article, Dinah Maclean describes how the monetary aggregates are used in the formulation of monetary policy analysis at the Bank, outlining the key tools and models used. The most important money-based model currently in use is the M1-VECM. In this model, deviations in the money supply from the long-term demand for money cause changes in inflation. The author briefly describes the "active-money" paradigm underlying this model and explains the key equations within it. Other simpler empirical models are also outlined, including single-equation indicator models for output based on the narrow aggregates, a neural network, and a model based on the broader aggregate M2++. A detailed technical annex provides details on model equations and coefficient values.

For over three decades, measured productivity growth in the commercial service sector has consistently lagged behind that of the goods-producing sector. At the same time, the service sector has greatly expanded its share of output and employment. Some commentators have suggested that this trend will reduce growth in total economy-wide productivity. In this article, the author reviews recent trends in productivity growth in services and the main factors affecting it. She concludes that services will likely contribute to increases in future productivity growth. There is a great diversity of experience within the service sector. While productivity is falling in some industries, factors such as technological change, deregulation, and increased competition have helped to increase it in others. Moreover, much of the growth in commercial service output is occurring in those industries with relatively high productivity growth. Difficulties in measuring output for some service activities may also be resulting in underestimation of output and productivity growth. To the extent that services are used as intermediate inputs in the production of goods, underestimating productivity growth in the service industry would cause an offsetting overestimation of productivity growth in goods-producing industries.

This article sets out the Bank’s mandate for regulatory oversight of clearing and settlement systems, the strategy that is followed, and the key activities relevant to the conduct of oversight.