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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.

We construct a new dataset of unanticipated contracts and examine their effects on employment growth. We find positive, significant and persistent effects on firms with fewer than 150 employees and estimate a cost-per­job that is an order of magnitude lower than previous estimates.

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.

Inflation-targeting frameworks have remained relatively stable over the past few years despite significant challenges, including prolonged low inflation, a large negative commodity price shock and rising financial stability concerns in some economies. The tools used by central banks have, however, evolved substantially. This article provides a survey of the developments in the inflation-targeting frameworks of 10 central banks in advanced economies that correspond to the three research areas of the Bank of Canada’s 2016 renewal: the level of the inflation target, the measurement of core inflation and financial stability considerations in the formulation of monetary policy.

Extreme value theory (EVT) has been applied in fields such as hydrology and insurance. It is a tool used to consider probabilities associated with extreme and thus rare events. EVT is useful in modelling the impact of crashes or situations of extreme stress on investor portfolios.

Most financial markets allow investors to submit both limit and market orders, but it is not always clear what affects the choice of order type.

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.

In a laboratory experiment, we ask participants to predict inflation using three different policy regimes: inflation targeting—with and without greater communication of the target—average inflation targeting and price level targeting. We use participants’ predictions to compare the level and stability of inflation under each regime.

Recently released data show downward trends for both the firm entry rate and the rate of new entrepreneurship since the early 1980s in Canada. This paper documents these trends and discusses potential explanations.

This paper provides a framework for the early assessment of current U.S. nominal GDP growth, which has been considered a potential new monetary policy target. The nowcasts are computed using the exact amount of information that policy-makers have available at the time predictions are made. However, real-time information arrives at different frequencies and asynchronously, which poses challenges of mixed frequencies, missing data and ragged edges.