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This paper uses a small-open economy model for the Canadian economy to examine the optimal Taylor-type monetary policy rule that stabilizes output and inflation in an environment where endogenous boom-bust cycles in house prices can occur.

One of the central lessons learned from the Great Depression was that adjusting government spending each year to balance the budget increases the volatility of output.

The number of job gains and losses across firms in Canada each year is roughly one-fifth the total number of jobs and generally occurs within sectors (industries) rather than across sectors. Since labour reallocation within sectors has been strongly related to productivity growth in Canada, defining the key drivers of this type of reallocation is important, given the higher rates of reallocation and productivity growth in the Untied States than in Canada. This article finds that the appreciation of the Canadian dollar and rising commodity prices led to above-average reallocation of labour across sectors over the 2005-08 period, but that the impact on productivity has been minor. Labour reallocation across firms, however, generates substantial labour productivity gains in manufacturing and the business sector as a whole.

Using two complementary approaches, we investigate the importance of U.S. macroeconomic news in driving low-frequency fluctuations in the term structure of interest rates in Canada, Sweden and the United Kingdom. We find that U.S. macroeconomic news is particularly important to explain changes in the expectation components of the nominal, real and break-even inflation rates of small open economies.

Changes in survey mode (e.g., online, offline) may influence the values of survey responses, and may be particularly problematic when comparing repeated cross-sectional surveys.

This paper examines asset allocation strategies in an extreme value at risk (VaR) framework in which the risk measure is the p-quantile from the extreme value distribution. The main focus is on the allocation problem faced by an extremely risk-averse institution, such as a central bank.

Using an exclusive data set of payment times for retail transactions made in Canada, I show that cash is the most time-efficient method of payment (MOP) when compared with payments by debit and credit cards. I model payment efficiency using Cox proportional hazard models, accounting for consumer choice of MOP.

Central banks can implement unconventional monetary policy measures to provide additional easing when policy interest rates come close to their lower limit. To date, the international experience with tools such as quantitative easing and negative interest rates has been largely positive. Central banks may also use several such measures simultaneously, with often mutually reinforcing effects. Yet, unconventional tools are also subject to potential limits, and the costs associated with these measures could rise with extensive and prolonged use.

We expect potential output growth to be higher than in the October 2020 reassessment. By 2024, growth will be slightly above its average growth from 2010 to 2019. We assess that the Canadian nominal neutral rate continues to lie in the range of 1.75 to 2.75 percent.

In this article, we consider central bank intervention to address financial market turmoil with a focus on the questions of why, when, and how a central bank might intervene. We set out a policy framework and identify appropriate central bank instruments to respond to extraordinary financial market turmoil, consistent with central bank policy goals and functions.