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We explain how the Bank of Canada’s policy models capture the trade-off between output and inflation in Canada. We provide new estimates of the trade-off and contrast them with those in the Bank’s macroeconomic models.

This article examines another strategy in the Bank's approach to dealing with an uncertain world: the use of carefully articulated models to produce economic forecasts and to examine the implications of the various risks to those forecasts. Economic models are deliberate simplifications of a complex world that allow economists to make predictions that are reasonably accurate and that can be easily understood and communicated. By using several models, based on competing paradigms, the Bank minimizes policy errors that could result from relying on one view of the world and one philosophy of model design. The authors review some of the models currently used at the Bank, as well as the role of judgment in the projection process.

This article by the Bank's Web master details the development of the Bank's Web site and highlights some of its special features. It includes a description of dataBANK, a custom-built interface to the Bank's economic databases that gives visitors access to 220 data series. It also provides a mini tour of monetary policy material "on site," as well as a taste of things to come. Above all, this article invites you to come and visit our site.

We review the nascent but fast-growing literature on central bank digital currencies (CBDCs), focusing on their potential impacts on private banks. We evaluate these impacts in three areas of traditional banking: payments, lending and liquidity and maturity transformation. We also take a broader look at CBDCs and highlight two promising directions for future research.

How do storms, floods and wildfires affect consumer prices? In the short term, natural disasters can significantly increase volatility in Canada-wide inflation. Over the long term, natural disasters influence inflation in shelter prices, especially when provincial output is already weak relative to trend.

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.

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.

There are indications that business dynamism has declined in advanced economies. In particular, firm entry and exit rates have fallen, suggesting that the creative destruction process has lost some of its vitality. Meanwhile, productivity growth has slowed. Some believe that lower entry and exit rates partly explain the weaker productivity growth.