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Should a central bank take over the provision of e-money, a circulable electronic liability? We discuss how e-money technology changes the tradeoff between public and private provision, and the tradeoff between e-money and a central bank's existing liabilities like bank notes and reserves.

Dion examines the evolution of Canadian productivity since the mid-1990s, using the United States as a benchmark. During this period, trend productivity growth in Canada remained modest, whereas the U.S. witnessed a strong resurgence. Among the factors identified as potential root causes of Canada's lower productivity performance are a lower investment in information and communications technology, reallocation and adjustment costs associated with large relative price movements, and a weak demand for innovation.

We use a small open economy model with overlapping generations to evaluate secular dynamics of the neutral rate in Canada from 1980 to 2018. We find that changes in both foreign and domestic factors resulted in a protracted decline in the neutral rate.

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.

The Canadian Survey of Consumer Expectations (CSCE) collects respondents’ views on inflation, the labour market and household finances. The survey for the fourth quarter of 2020 was conducted from November 10 to December 1, 2020. This period coincides with a sharp increase in COVID‑19 cases across Canada and follows announcements about the development of effective vaccines. Since the survey was conducted, some provinces have imposed additional measures to contain the spread of the virus. In addition, the first vaccines have begun to be administered. Like the previous two surveys, the fourth-quarter survey included questions on the impacts of COVID‑19 and the measures to contain its spread. This survey also asked respondents how they used any benefits they received from income-support programs that governments put in place to help them through the pandemic. This quarter, the report provides some details by demographic characteristics.

Central banks are still defining their approach to financial stability and are at an early stage in the development of useful models. The Bank of Canada's 2007 economic conference was organized to stimulate progress in the development of financial-stability frameworks. Among the highlights reported here are the discussions centred around three proposed frameworks: a contingent-claims-analysis framework, a semi-structural framework, and structural financial-stability models. Participants also reported on their experiences with stress-testing under the International Monetary Fund's Financial Sector Assessment Program and discussed the implications for financial stability of linkages among payment, clearing, and settlement systems.

We look at the informational content of consensus pricing in opaque over-the-counter markets. We show that the availability of price data informs participants mainly about other participants’ valuations, rather than about the value of a financial security.

This issue of the Financial System Review reflects the Bank’s judgment that high household indebtedness and housing market imbalances remain the most important vulnerabilities. While these vulnerabilities remain elevated, policy measures continue to improve the resilience of the financial system. A third vulnerability highlighted in the FSR concerns cyber threats to an interconnected financial system.

We introduce behavioral learning equilibria (BLE) into DSGE models with boundedly rational agents using simple but optimal first order autoregressive forecasting rules. The Smets-Wouters DSGE model with BLE is estimated and fits well with inflation survey expectations. As a policy application, we show that learning requires a lower degree of interest rate smoothing.

The Bank of Canada’s current suite of models faces challenges in addressing network effects that integrate household and firm-level heterogeneity and their behaviours. We develop CANVAS, a Canadian behavioural agent-based model to contribute to the Bank’s next-generation modelling effort. CANVAS improves forecasting performance and expands capacity for model-based scenario analysis.