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Recent years have seen renewed interest in the regulation of interbank markets. A review of the literature in this area identifies two gaps: first, the literature has tended to make ad hoc assumptions about the interbank contract space, which makes it difficult to generate convincing policy prescriptions; second, the literature has tended to focus on ex-post interventions that kick in only after an interbank disruption has come underway (e.g., open-market operations, lender-of-last-resort interventions, bail-outs), rather than ex-ante prudential policies.

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.

This report provides a detailed technical description of the updated MacroFinancial Risk Assessment Framework (MFRAF), which replaces the version described in Gauthier, Souissi and Liu (2014) as the Bank of Canada’s stress-testing model for banks with a focus on domestic systemically important banks (D-SIBs).

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.

In the field of economics, on average, women tend to produce fewer research articles and be cited less often than men. But this appears to be changing. A newly compiled dataset about scholars at top universities around the world helps us identify where individual gender gaps exist.

Central bankers argue that programmable digital currencies may compromise the uniformity of money. We develop a stylized model to examine this argument and the trade-offs involved in circulating programmable money.

This paper develops a model of firm heterogeneity, technological adoption, and urbanization. In the model, welfare is measured by household real income, and urbanization is measured by population density. I use the model to derive statistics that measure the effect of a new technology on productivity, welfare, and urbanization.

We identify the drivers of unsecured and collateralized loan volumes, rates and haircuts in Canada using the Bayesian model averaging approach to deal with model uncertainty. Our results suggest that the key friction driving behaviour in this market is the collateral reallocation cost faced by borrowers.