Browse research

Although the number of job applications has risen, job-finding rates remain relatively unchanged while job-separation rates have significantly declined. Rather than raising the probability of finding a job, we find that a rise in applications raises the probability of finding a good match, as evidenced by the decline in separation rates.

Carbon dioxide emissions have been commonly modelled as rising and falling with total output. Yet many factors, such as energy-efficiency improvements and shifts to cleaner energy, can break this relationship. We evaluate these factors using US data and find that changes in energy efficiency of consumption goods explain a significant proportion of emissions fluctuations. This finding also implies that models that omit energy efficiency likely overestimate the trade-off between environmental protection and economic performance.

We characterize the bias in cross-sectional Hill estimates caused by common underlying factors and propose two simple-to-implement remedies. To test for the presence, direction and size of the bias, we use monthly US stock returns and annual US Census county population data.

We study the relationship between characteristics of new mortgages and borrowers’ financial stress in Canada’s energy-intensive regions following the 2014 collapse in oil prices. We find that borrowers with limited home equity were more likely to have difficulty repaying debt.

We assess how rising exports of US liquefied natural gas affect the convergence of natural gas prices worldwide. Our results may have implications for the development of future LNG export capacity in Canada.

How do changes to personal and corporate income tax rates in the United States affect its trading partners? Spillover effects from cuts in the two taxes differ. They are generally small and negative for corporate taxes, but sizable and positive for personal income taxes.

Digital technologies have helped maintain economic activity while allowing people to remain physically distant throughout the COVID-19 crisis. This note shows that the number of online postings for jobs related to the production of digital technologies in Canada decreased less than the number for other jobs and recovered more quickly after lockdowns were lifted.

Understanding the size of sectoral links is crucial to predicting the impact of a crisis on the whole economy. We show that statistical learning techniques substantially outperform traditional estimation techniques when measuring large networks of these links.

In this analysis, we use simulations in the Bank of Canada’s projection model—the Terms-of-Trade Economic Model—to consider a suite of extended monetary policies to support the economy following the COVID-19 crisis.

We show that changes in sentiment that aren’t related to fundamentals can drive persistent macroeconomic fluctuations even when all economic agents are rational. Changes in sentiment can also affect how fundamental shocks affect macroeconomic outcomes.