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The recent financial crisis and subsequent recession have spurred great interest in the sources of unemployment fluctuations. Previous studies predominantly assume a single economy-wide labour market, and therefore abstract from differences across sectorspecific labour markets in the economy.

We propose a new empirical framework that jointly decomposes the conditional variance of economic time series into a common and a sector-specific uncertainty component. We apply our framework to a disaggregated industrial production series for the US economy. We identify unexpected changes in durable goods uncertainty as drivers of downturns, while unexpected hikes in non-durable goods uncertainty are expansionary.

Multi-stage production is widely recognized as an important feature of the modern global economy. This feature has been incorporated into many state-of-the-art quantitative trade models, and has been shown to deliver significant additional gains from international trade.

This paper shows that real effective exchange rate (REER) regressions, the standard approach for estimating the response of aggregate exports to exchange rate changes, imply biased estimates of the underlying elasticities. We provide a new aggregate regression specification that is consistent with bilateral trade flows micro-founded by the gravity equation.

The Large Value Transfer System (LVTS) for settling large payments, and CDSX for settling debt and equity trades, are two of the main settlement systems in Canada. They are closely linked; for example, at the end of the day the final CDSX payment obligations must settle on the Bank of Canada's books, with payments made […]

Classical oligopoly models predict that firms differentiate vertically as a way of softening price competition, but some metrics suggest very little quality differentiation in the U.S. auto insurance market.

Senior Deputy Governor Carolyn A. Wilkins discusses technological progress and how policy-makers can harness it for economic growth that benefits everyone.

The Bank of Canada uses several short-term forecasting models for the monitoring of key foreign economies - the United States, the euro area, Japan and China. The design of the forecasting models used for each region is influenced by the level of detail required, as well as the timeliness and volatility of data. Forecasts from different models are typically combined to mitigate model uncertainty, and judgment is applied to the model forecasts to incorporate information that is not directly reflected in the most recent indicators.

This report presents the details of a new semi-annual survey that will improve the Bank of Canada’s surveillance across the financial system and deepen efforts to engage with financial system participants. The survey collects expert opinions on the risks to and resilience of the Canadian financial system as well as on emerging trends and financial innovations. The report presents an overview of the survey and provides high-level results from the spring 2018 survey.

We introduce bounded rationality in a canonical New Keynesian model calibrated to match Canadian macroeconomic data since Canada’s adoption of inflation targeting. We use the model to quantitatively assess the macroeconomic impact of alternative monetary policy regimes.