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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.

In this paper, we provide empirical evidence on the factors that motivated emerging economies to change their capital outflow controls in recent decades. Liberalization of capital outflow controls can allow emerging-market economies (EMEs) to reduce net capital inflow (NKI) pressures, but may cost their governments the fiscal revenues that external financial repression generates.

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.

We explore the implications of digitalization for monetary policy, both in terms of how monetary policy affects the economy and in terms of data analysis and communication with the public.

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.

We explore the long-run effects of a monetary policy shock in a Heterogeneous Agent New Keynesian model built on the micro evidence that job losses lead to persistently lower individual earnings through a combination of skill decay and abandonment of the labour force.

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.

We examine large price changes, known as jumps, in the U.S. Treasury market. Using recently developed statistical tools, we identify price jumps in the 2-, 3-, 5-, 10-year notes and 30-year bond during the period of 2005-2006.