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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.

This paper develops an economic framework to analyze the exchange rate of virtual currency. Three components are important: first, the current use of virtual currency to make payments; second, the decision of forward-looking investors to buy virtual currency (thereby effectively regulating its supply); and third, the elements that jointly drive future consumer adoption and merchant acceptance of virtual currency.

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.

Commodity prices are once again making headlines. Some commodity prices, such as those for copper and cattle, have reached record highs; others are rising quickly and approaching previous peaks.

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.

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.

We analyze the dynamic and heterogeneous responses of small-business loan performance to a monetary-policy shock using loan-level data in Canada. We find evidence of monetary policy transmission through the cash-flow channel and the aggregate demand channel as well as some, though limited, impact of collateral to discipline loan repayment.

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.