Staff research

This note examines supply-side trends in Canadian non-energy industries and their implications for export performance. Between 2002 and 2016, capital stocks and total labour input declined in many industries that export non-energy goods. These soft trends in the factors of production have likely contributed to the decline in non-energy exports in about half of the goods industries analyzed in this note.

Building on the shift-share analysis of Barnett and Charbonneau (2015), this note decomposes Canada’s market shares in the United States, Europe and China for imports of non-energy goods into competitiveness, preference shifts and an interaction term. We find that, despite the depreciation of the dollar, Canada continued to lose market share over 2014–17 (around 0.4 percentage points lost per year on average over four years).

We document that, across households, the money consumption ratio increases with age and decreases with consumption, and that there has been a large increase in the money consumption ratio during the recent era of very low interest rates. We construct an overlapping generations (OLG) model of money holdings for transaction purposes subject to age (older households use more money), cohort (younger generations are exposed to better transaction technology), and time effects (nominal interest rates affect money holdings).

Given the influence that agents’ expectations have on key macroeconomic variables, it is surprising that very few papers have tried to extrapolate agents’ “true” expectations directly from the data. This paper presents one such approach, starting with the hypothesis that there is sluggishness in inflation and real GDP growth forecasts.

This paper studies short-term forecasting of Canadian real GDP and its expenditure components using combinations of nowcasts from different models. Starting with a medium-sized data set, we use a suite of common nowcasting tools for quarterly real GDP and its expenditure components.

This paper finds that Government of Canada benchmark bonds tend to be more illiquid over the subsequent month when there is a large increase in government debt supply. The result is both statistically and economically significant, stronger for the long-term than the short-term sector, and is robust when other macro factors are controlled for.

During and after the Great Recession of 2008–09, conventional monetary policy in the United States and many other advanced economies was constrained by the effective lower bound (ELB) on nominal interest rates. Several central banks implemented large-scale asset purchase (LSAP) programs, more commonly known as quantitative easing or QE, to provide additional monetary stimulus.

Until recently, there have been few efforts to systematically measure and aggregate the nominal value of the different types of sovereign government debt in default. To help fill this gap, the Bank of Canada’s Credit Rating Assessment Group (CRAG) has developed a comprehensive database of sovereign defaults posted on the Bank of Canada’s website that now is updated in partnership with the Bank of England.

This paper proposes a method for estimating the joint distribution of two or more variables when only their marginal distributions and the distribution of their aggregates are observed. Nonparametric identification is achieved by modelling dependence using a latent common-factor structure.

In this note, I assess the readability of Bank of Canada publications using a formula commonly used for this type of evaluation. I find that Bank publications are more difficult to read than the media articles and other content our target audiences likely consume. This suggests that more simple writing can help the Bank better meet its communication objectives.