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We use data from the Canadian Survey of Consumer Expectations to understand how households are coping with high inflation and high interest rates. We build a subjective measure of financial stress and find that the level of stress is at a historical high but remains manageable for most households.

Forecasts of the price of crude oil play a significant role in the conduct of monetary policy, especially for commodity producers such as Canada. This article presents a range of recently developed forecasting models that, when pooled together, can generate, on average, more accurate forecasts of the price of oil than the oil futures curve. It also illustrates how policy-makers can evaluate the risks associated with the baseline oil price forecast and how they can determine the causes of past oil price fluctuations.

Should a CBDC be more like cash or bank deposits? An interest-bearing, cash-like CBDC not only makes payments more efficient but also increases total demand. This has positive effects on other transactions, inducing more deposit taking and lending and, thus, bank intermediation.

We add agency costs as in Carlstrom and Fuerst (1997) into a two-country, two-good international business-cycle model. In our model, changes in the relative price of investment arise endogenously.

We estimate a model of households in Norway with bequest motives, health-dependent utility, and uncertain longevity and health. Our estimates imply strong bequest motives for households both with and without offspring. We interpret this as suggestive evidence that utility from residual wealth represents forces beyond an altruistic bequest motive.

Monetary policy implementation could, in theory, be constrained by deeply negative rates since overnight market participants may have an incentive to invest in cash rather than lend to other participants.

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.

The Bank of Canada maintains regular contact with financial institutions as part of the information-gathering process that feeds into the larger set of information used to arrive at its monetary policy decision. Since 1999, the Bank has been conducting a quarterly survey of the business-lending practices of major Canadian financial institutions. Analysis of the information collected shows that it is correlated with future growth in both credit and business investment. This article focuses on how the survey is conducted and describes the construction of the summary statistics, highlighting the key statistical relationships in the historical survey data.

During the COVID-19 financial market crisis, central banks introduced programs to support liquidity in important core funding markets. As well as acting as a backstop to market prices, these programs produce useful trading data on prevailing market conditions. When summary information from this data is shared publicly, it can help market participants understand current conditions and aid the recovery of market functioning.