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In the interbank market, banks will sometimes trade below the central bank's deposit rate. We explain this anomaly using a theory based on market frictions and relationship lending.

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.

Can daycare replace parents’ time spent with children? We explore this by using data on how parents spend time and money on children and how this spending is related to their child’s development.

We assess how location affects house prices in Canada. The gap in prices between suburbs and downtown was closing gradually before the pandemic. The gap has been closing faster since spring 2020. This finding reflects a shift in preferences toward more living space.

We use graphic processing unit computing to compare Bayesian and sample theory semiparametric binary response models. Our findings show that optimal bandwidth does not outperform regular bandwidth in binary semiparametric models.

We study a government policy that restricts repayment choices with the aim of reducing credit card debt and estimate its effects by applying a difference-in-differences methodology to comprehensive credit-reporting data about Canadian consumers. We find the policy has trade-offs: reducing revolving debt comes at a cost of reducing credit access, and potentially increasing delinquency.

We show that haircuts are rarely used in the Canadian dealer-to-client repo market and their usage did not increase materially during past stress events. Usage is concentrated among wealth managers and some foreign official institutions, likely reflecting regulatory or internal requirements.

The Bank of Canada uses several short-term forecasting models for the monitoring of key foreign economies - the United States, the euro area, Japan and China. The design of the forecasting models used for each region is influenced by the level of detail required, as well as the timeliness and volatility of data. Forecasts from different models are typically combined to mitigate model uncertainty, and judgment is applied to the model forecasts to incorporate information that is not directly reflected in the most recent indicators.

Currency crises in the 1990s, especially those in emerging markets, have sharply disrupted economic activity, affecting not only the country experiencing the crisis, but also those with trade, investment, and geographic links. The authors review the theoretical literature and empirical evidence regarding these crises. They conclude that their primary cause is a fixed nominal exchange rate combined with macroeconomic imbalances, such as current account or fiscal deficits, that the market perceives as unsustainable at the prevailing real exchange rate. They also conclude that currency crises can be prevented through the adoption of sound monetary and fiscal policies, effective regulation and supervision of the financial sector, and a more flexible nominal exchange rate.