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1570 Results

Digitalization: Definition and Measurement

Staff discussion paper 2023-20 Guyllaume Faucher, Stéphanie Houle
This paper provides an overview of digitalization and its economic implications. We assess the scope of digitalization in Canada as well as the challenges related to its measurement.

Decision Synthesis in Monetary Policy

Staff working paper 2024-30 Tony Chernis, Gary Koop, Emily Tallman, Mike West
We use Bayesian predictive decision synthesis to formalize monetary policy decision-making. We develop a case-study of monetary policy decision-making of an inflation-targeting central bank using multiple models in a manner that considers decision goals, expectations and outcomes.

Private Digital Cryptoassets as Investment? Bitcoin Ownership and Use in Canada, 2016-2021

We report on the dynamics of Bitcoin awareness and ownership from 2016 to 2021, using the Bank of Canada's Bitcoin Omnibus Surveys (BTCOS). Our analysis also helps understand Bitcoin owners who adopted during the COVID-19 and how they differ from long-term owners. 
December 23, 2003

The Comparative Growth of Goods and Services Prices

For several decades, the prices of services have been rising more rapidly than the prices of goods in Canada and the other major industrialized countries. In 2002, this gap between the growth rates of these two components of the consumer price index (CPI) widened considerably, leading researchers to ask if this was the beginning of a trend. Analysis reveals, however, that the gap is based on short-term dynamics and that it appears to be independent of the trend in the development of the overall price level. Evidence also shows that the gap is eventually reabsorbed. The authors examine a number of potential causes for the prices of services to rise faster than those of goods. These include the more rapid pace of productivity growth in the goods sector, the greater openness of goods to foreign trade, and stronger growth in the demand for services.

Using Payments Data to Nowcast Macroeconomic Variables During the Onset of COVID-19

Staff working paper 2021-2 James Chapman, Ajit Desai
We use retail payment data in conjunction with machine learning techniques to predict the effects of COVID-19 on the Canadian economy in near-real time. Our model yields a significant increase in macroeconomic prediction accuracy over a linear benchmark model.
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