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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.

I investigate how monetary policy transmits to mortgage rates via the mortgage market concentration channel for both traditional and shadow banks in the United States from 2009 to 2019. On average, shadow and traditional banks exhibit only a slight disparity in transmitting monetary shocks to mortgage rates.

This paper proposes a novel asymptotic least-squares estimator of multi-country Gaussian dynamic term structure models that is easy to compute and asymptotically efficient, even when the number of countries is relatively large—a situation in which other recently proposed approaches lose their tractability.

It has been a difficult year for capital markets professionals. The turmoil has deteriorated into a full-blown financial crisis. Most financial markets have experienced historic falls in prices, and some are strained to the point of closing.

Developments are underway to replace Canada’s two core payment systems with three new systems. We use a discrete choice model to predict migration patterns of end-users and financial institutions for future systems and discuss their policy implications.

In 2016 and 2017, the Bank of Canada added questions to the Business Outlook Survey on firms’ expectations for the magnitude of change in their sales volumes, number of employees, investment spending, input prices and selling prices. This backgrounder describes how the responses are aggregated and examines their relationship with macroeconomic and price measures.

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.

Inflation can affect both the dispersion of commodity-specific price levels across locations (relative price variability, RPV) and the dispersion of inflation rates (relative inflation variability, RIV). Some menu-cost models and models of consumer search suggest that the RIV-inflation relationship could differ from the RPV-inflation relationship.

The consumer price index (CPI) is the most commonly used measure to track changes in the overall level of prices. Since it departs from a true cost-of-living index, the CPI is subject to four types of measurement bias—commodity substitution, outlet substitution, new goods and quality adjustment. The author updates previous Bank of Canada estimates of measurement bias in the Canadian CPI by examining these four sources of potential bias. He finds the total measurement bias over the 2005–11 period to be about 0.5 percentage point per year, consistent with the Bank’s earlier findings. Slightly more than half of this bias is caused by the fixed nature of the CPI basket of goods and services.