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The goods and services sectors have experienced considerably different dynamics over the past three decades. Our goal in this paper is to understand how such contrasting behaviors at the sectoral level affect the aggregate level of trend inflation dynamics.

Policy-makers around the world met the intensification of the global financial crisis at the end of 2008 with a forceful response aimed at restoring confidence in the global financial system, promoting the flow of credit, and supporting economic activity.

FSR Highlights - June 2009

Erratum: Legends for Chart 13 on page 15 of the June 2009 issue should read: Argentina (right scale), Mexico (left scale). See revised chart.

Offline functionality is a key consideration for a potential CBDC. We describe the different types of offline functionality based on their duration outside of network connection—either intermittent (for short periods) or extended (for longer periods). We discuss the advantages and drawbacks of each and consider implications for end-user devices, system resilience and universal accessibility.

We investigate the effect of inflation on output and welfare in the laboratory. Consistent with monetary theory, we find that inflation acts as a tax on monetary exchange and reduces output and welfare.

We use Bayesian predictive decision synthesis to formalize monetary policy decision-making. We develop a case-study of monetary policy decision-making of an inflation-targeting central bank using multiple models in a manner that considers decision goals, expectations and outcomes.

Canada’s Short-Term Indicator (CSI) is a new model that exploits the information content of 32 indicators to produce daily updates to forecasts of quarterly real GDP growth. The model is a data-intensive, judgment-free approach to short-term forecasting. While CSI’s forecasts at the start of the quarter are not very accurate, the model’s accuracy increases appreciably as more information becomes available. CSI is the latest addition to a wide range of models and information sources that the Bank of Canada uses, combined with expert judgment, to produce its short-term forecasts.

The Bank expects Canada’s economy to grow by almost 4 percent on average in 2021 and 2022, following a decline of about 5 ½ percent in 2020.

Innovations in basic information technologies, in payment applications, and in the availability of global markets, as well as substantial changes in financial sector policy, have fundamentally changed how the retail payments system in Canada operates. Principally, the volume and types of electronic payments have grown, and there is increased participation by diverse groups of financial and non-financial institutions as providers of retail payment services. The resulting policy problem for payment systems is how best to benefit from efficiency gains while managing payment risks. O'Connor examines the effect of the technological and legislative changes and the initiatives developed by the public and private sectors in such areas as the market arrangements for services; customer risks and costs for settling large-value retail payments; the security of payment information and the efficiency with which it is transmitted; and the effects of differing regulatory regimes on competition among providers of retail payment services.

Uncertainty about the level of future inflation adversely affects the economy because it distorts the savings and investment decisions of households and businesses. Since these decisions typically involve planning horizons of many years, the adverse effects from inflation uncertainty can be reduced by adopting a policy framework that makes future inflation more predictable over long time horizons. When the inflation-control target was renewed in May 2001, the agreement affirmed that monetary policy will be directed at moving inflation to the 2 per cent midpoint of the target range over a six-to-eight-quarter horizon. The author describes how this policy commitment increases the predictability of average inflation over periods longer than one year. This relationship is illustrated using the Canadian experience from the inflation-targeting period.

The arrival of immigrants increases demand for housing and puts upward pressure on shelter prices. Using instrumental variables based on the ancestry composition of residents in US counties, we estimate the causal impact of immigration on local shelter prices.