Search

The goods and services sectors have experienced considerably different dynamics over the past three decades. Our goal in this paper is to understand how such contrasting behaviors at the sectoral level affect the aggregate level of trend inflation dynamics.

This report reviews the use of quantitative tools to gauge market participants’ assessment of banking system resilience. These measures complement traditional balance-sheet metrics and suggest that markets consider large Canadian banks to be better placed to weather adverse shocks than banks in other advanced economies. Compared with regulatory capital ratios, however, the measures suggest less improvement in banking system resilience since the pre-crisis period.

We study the competition between a welfare-maximizing public payment platform (e.g., CBDC or fast payment system) and a profit-maximizing private platform in a two-sided market, deriving optimal public pricing and showing how network effects, fragmentation, and policy mandates like zero fees or cost recovery shape welfare, usage, and fee incidence.

Globalization is the opportunity and the challenge of our age. It has the potential to lift billions out of poverty, vastly expand economic prospects, and develop a more diverse and resilient global economy.

We investigate the effect of inflation on output and welfare in the laboratory. Consistent with monetary theory, we find that inflation acts as a tax on monetary exchange and reduces output and welfare.

Offline functionality is a key consideration for a potential CBDC. We describe the different types of offline functionality based on their duration outside of network connection—either intermittent (for short periods) or extended (for longer periods). We discuss the advantages and drawbacks of each and consider implications for end-user devices, system resilience and universal accessibility.

Canada’s Short-Term Indicator (CSI) is a new model that exploits the information content of 32 indicators to produce daily updates to forecasts of quarterly real GDP growth. The model is a data-intensive, judgment-free approach to short-term forecasting. While CSI’s forecasts at the start of the quarter are not very accurate, the model’s accuracy increases appreciably as more information becomes available. CSI is the latest addition to a wide range of models and information sources that the Bank of Canada uses, combined with expert judgment, to produce its short-term forecasts.

The Canadian Financial Monitor (CFM) survey uses non-probability sampling for data collection, so selection bias is likely. We outline methods for obtaining survey weights and discuss the conditions necessary for these weights to eliminate selection bias. We obtain calibration weights for the 2018 and 2019 online CFM samples.

We estimate the effects of economic uncertainty on time use and discuss its macroeconomic implications. We develop a model to demonstrate that substitution between market and non-market work provides an additional insurance margin to households, weakening precautionary savings and labour supply and lowering aggregate demand, ultimately amplifying the contractionary effects of uncertainty.