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The author reviews the theoretical and empirical literature to examine the traditional perception that the following trade-off exists between economic efficiency and stability in the banking system: a competitive banking system is more efficient and therefore important to growth, but market power is necessary for stability in the banking system.

The authors investigate empirically the relationship between different aspects of inflation and relative price dispersion in Canada using a Markov regime-switching Phillips curve.

In the United States, the Federal Reserve has a dual mandate of promoting stable inflation and maximum employment. Since the Fed directly controls only one instrument - the federal funds rate - the authors argue that the Fed's priorities continuously alternate between inflation and economic activity.

The federal government and the Bank of Canada have been committed for some time to achieving and maintaining price stability as a way to foster a rising standard of living for all Canadians. To support this objective, the inflation-control target range of 1 to 3 per cent was recently extended through to the end of 2001. By then, the government and the Bank plan to announce a long-run target for monetary policy. In this article, the authors provide an overview of the most recent empirical evidence on the benefits of lower inflation. They draw on an extensive earlier survey and on work presented at two recent conferences on price stability hosted by the Bank of Canada. They find that, when inflation and tax interactions are taken into account, there are large benefits to lowering inflation. When these benefits are compared with the transitional costs associated with lowering inflation, significant positive benefits remain. However, the authors note that the extension of the inflation-control targets to the end of 2001 allows further research to ensure an operational definition of price stability that will help Canadians achieve a high standard of living.

The good forecasting performance of factor models has been well documented in the literature. While many studies focus on a very limited set of variables (typically GDP and inflation), this study evaluates forecasting performance at disaggregated levels to examine the source of the improved forecasting accuracy, relative to a simple autoregressive model. We use the latest revision of over 100 U.S. time series over the period 1974-2009 (monthly and quarterly data).

This article focuses on a quantitative method to identify financial system vulnerabilities, specifically, an imbalance indicator model (IIM) and its application to Canada. An IIM identifies potential vulnerabilities in a financial system by comparing current economic and financial data with data from periods leading up to past episodes of financial stress. It complements other sources of information - including market intelligence and regular monitoring of the economy - that policy-makers use to assess vulnerabilities.

We use retail payment data in conjunction with machine learning techniques to predict the effects of COVID-19 on the Canadian economy in near-real time. Our model yields a significant increase in macroeconomic prediction accuracy over a linear benchmark model.

In his speech entitled “How People Think and How it Matters,” delivered to the Canadian Association for Business Economics, Deputy Governor Jean Boivin reviews various ways people form expectations and how these affect monetary policy.

Deputy Governor Agathe Côté discusses the inflation-targeting framework and issues the Bank is researching in the run-up to the renewal of the framework in 2016.