We explore the implications of digitalization for monetary policy, both in terms of how monetary policy affects the economy and in terms of data analysis and communication with the public.

We develop a Canadian behavioral agent-based model (CANVAS) that utilizes Canadian micro- and macroeconomic data for forecasting and policy analysis. CANVAS represents a next-generation modelling effort, as it improves upon the previous generation of models in three dimensions: introducing...

In this paper, the authors develop a new tool to improve the short-term forecasting of real GDP growth in the euro area and Japan. This new tool, which uses unrestricted mixed-data sampling (U-MIDAS) regressions, allows an evaluation of the usefulness of a wide range of indicators in predicting...

This paper discusses how central banking is evolving in light of recent experience, with particular emphasis on the incorporation of uncertainty into policy decision-making. The sort of post-crisis uncertainty that central banks are dealing with today is more profound than that which is...

We provide empirical evidence on the impact of oil supply shocks on global aggregates. To do this, we first extract structural oil supply shocks from a standard oil-price determination model found in the literature. Impulse response functions are then estimated using local projections. This...

This paper looks at the implications for monetary policy of the widespread adoption of artificial intelligence and machine learning, which is sometimes called the "fourth industrial revolution". The paper reviews experiences from the previous three industrial revolutions, developing a template...

This note uses industry data and a unique dataset of small and medium-sized merchants to provide insights into the acquirer-merchant market in Canada. Three main findings are presented. First, smaller merchants pay their acquirer more for every dollar of card payment than larger merchants....

We use consumer surveys conducted in April, July and November 2020 to study how the COVID-19 pandemic affected the demand for cash and the use of various methods of payment. Continuing from Chen et al. (2020, 2021), we use data from the Bank Note Distribution System (BNDS) to track how the...

We conduct a follow-up to Chen et al. (2020) and study demand for and use of cash after the containment measures imposed at the beginning of the COVID-19 pandemic were relaxed during the summer of 2020. We find that bank notes in circulation continued to rise in July due to ongoing cash...

Default risk models have been widely employed to assess the ability of households and sovereigns to insure themselves against shocks. Grid search has often been used to solve these models because the complexity of the problem prevents the use of faster but less general methods. In this paper, we...