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Starting with the winter 2007–08 survey, the results of two additional questions became included in the Business Outlook Survey (BOS) publication: the balance of opinion on past sales and the balance of opinion on credit conditions. This backgrounder briefly describes the two questions and presents the correlations between the responses and relevant economic data.

Should monetary policy lean against housing market booms? We approach this question using a small-scale, regime-switching New Keynesian model, where housing market crashes arrive with a logit probability that depends on the level of household debt.

The theme of the conference, "managing the recovery," is particularly timely: As we move past the gravest dangers of the financial crisis toward better days, attention has turned to the policy challenges posed by the recovery.

To what extent does a central bank digital currency (CBDC) compete with bank deposits? To answer this question, we develop and estimate a structural model where each household chooses which financial institution to deposit their digital money with.

This article by the Bank's visiting economist examines the role of money in the transmission of monetary policy. Professor Laidler argues against the view of money as a passive variable that reacts to changes in prices, output, and interest rates but has no direct causative effect on them. He maintains that the empirical evidence supports the view of money playing an active role in the transmission mechanism. While he agrees that individual monetary aggregates can be difficult to read because of instabilities in the demand-for-money function, he argues that monetary aggregates, particularly those relating to transactions money, should have a more significant place in the hierarchy of policy variables that the Bank considers when formulating monetary policy.

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.

Price controls, or caps, can lead to shortages, as 1970’s gasoline price controls illustrate. One million trades show that the market for borrowing bonds in Canada has an implicit price cap: traders are willing to pay no more than the overnight interest rate to borrow a bond. This suggests the probability of a shortage increases when interest rates are very low.

We present a policy framework for electronic money and payments. The framework poses a set of positive questions related to the areas of responsibility of central banks: payments systems, monetary policy and financial stability. The questions are posed to four broad forms of e-money: privately or publicly issued, and with centralized or decentralized verification of transactions. This framework is intended to help evaluate the trade-offs that central banks face in the decision to issue new forms of e-money.

As the Government of Canada’s fiscal agent, the Bank of Canada provides strategic policy advice on the management of the government’s debt, in addition to being responsible for conducting debt-management operations. In this article, the authors review the evolution of the debt strategy over the past 20 years and outline the complex process of developing a sound strategy that balances various cost and risk considerations. This includes an examination of the tools and practices used to develop the new medium-term debt-management strategy, such as the modelling approach involved, market consultations and various debt-management metrics.