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Technical data relating to the 2001 target renewal.

Governor Tiff Macklem talks about the COVID-19 pandemic and major economic forces are affecting the labour market, and the need for all groups to benefits from the recovery.

Various drivers of business investment can be used to explain the underwhelming performance of investment in advanced economies since the global financial crisis, particularly since 2014. The slow growth in aggregate demand cannot by itself explain the full extent of the recent weakness in investment, which appears to be linked primarily to the collapse of global commodity prices and a rise in economic uncertainty. Looking ahead, business investment growth is likely to remain slower than in the pre-crisis period, largely because of structural factors such as population aging.

Discussion of recent research into three ways that oil-futures prices can improve our understanding of current conditions and future prospects in the global market for crude oil; inflation expectations and the conduct of monetary policy: a review of recent evidence and experience; examination of the influence of various forms of economic uncertainty on the performance of different classes of monetary policy rules; how, when, and why such revisions to many important economic variables occur.

Central banks must cope with considerable uncertainty about what will happen in the economy when formulating monetary policy. This article describes the different types of uncertainty that arise and looks at examples of uncertainty that the Bank has recently encountered. It then reviews the strategies employed by the Bank to deal with this problem. The other articles in this special issue focus on three of these major strategies.

The common-factor hypothesis is one possible explanation for the housing wealth effect. Under this hypothesis, house price appreciation is related to changes in consumption as long as the available proxies for the common driver of housing and non-housing demand are noisy and housing supply is not perfectly elastic.

In its role as fiscal agent to the government, the Bank of Canada provides analysis and advice on decisions about the government's domestic debt portfolio. Debt-management decisions depend on assumptions about future interest rates, macroeconomic outcomes, and fiscal policy, yet when a debt-strategy decision is taken, none of these factors can be known with certainty. Moreover, the government has various financing options (i.e., treasury bills, nominal bonds, and inflation-linked bonds) to meet its objectives of minimizing debt-service charges while simultaneously ensuring a prudent risk profile and well-functioning government securities markets. Bank of Canada staff have therefore developed a mathematical model to assist in the decision-making process. This article describes the key aspects of the debt manager's challenge and the principal assumptions incorporated in the debt-strategy model, illustrated with specific results.

The objective of this paper is twofold. First, we assess whether financial education might be a suitable tool to promote the financial inclusion opportunities that big techs provide. Second, we study how this potential financial inclusion could impact financial stability.

To better understand price-setting behaviour in the Canadian economy, the Bank of Canada's regional offices surveyed a representative sample of 170 firms between July 2002 and March 2003. The authors discuss the reasons behind the survey, the methodology used to develop the questionnaire and conduct the interviews, and summarize the results. The study also assessed several explanations for holding prices steady despite market pressures for a change. The survey findings indicate that prices in Canada are relatively flexible and have become more flexible over the past decade. Price stickiness was generally found to originate in firms' fears of antagonizing customers or disturbing the goodwill or reputation developed with them. A detailed discussion of the results includes a consideration of their implications for monetary policy.

This paper evaluates the effects of high-frequency uncertainty shocks on a set of low-frequency macroeconomic variables that are representative of the U.S. economy. Rather than estimating models at the same common low-frequency, we use recently developed econometric models, which allows us to deal with data of different sampling frequencies.