Staff discussion papers
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Predicting Changes in Canadian Housing Markets with Machine Learning
We apply two machine learning algorithms to forecast monthly growth of house prices and existing homes sales in Canada. Although the algorithms can sometimes outperform a linear model, the improvement in forecast accuracy is not always statistically significant. -
Digitalization: Definition and Measurement
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. -
Forecasting Risks to the Canadian Economic Outlook at a Daily Frequency
This paper quantifies tail risks in the outlooks for Canadian inflation and real GDP growth by estimating their conditional distributions at a daily frequency. We show that the tail risk probabilities derived from the conditional distributions accurately reflect realized outcomes during the sample period from 2002 to 2022. -
Digitalization: Implications for Monetary Policy
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. -
Digitalization: Productivity
We examine the relationship between digitalization and productivity, the factors that influence this relationship, and how digitalization’s effect on productivity could change firm behaviour. -
Digitalization: Labour Markets
In this paper, the authors assess the relationship between digitalization and labour demand and supply, and how this relationship affects wages and income inequality. We also explore implications of recent digitalization trends for the future of work. -
Unmet Payment Needs and a Central Bank Digital Currency
We discuss the payment habits of Canadians both in the current payment environment and in a hypothetical cashless environment. -
Cryptoasset Ownership and Use in Canada: An Update for 2022
We find that Bitcoin ownership declined from 13% in 2021 to 10% in 2022. This drop occurred against a background of steep price declines and an increasingly tight regulatory atmosphere. -
What Can Earnings Calls Tell Us About the Output Gap and Inflation in Canada?
We construct new indicators of demand and supply for the Canadian economy by using natural language processing techniques to analyze earnings calls of publicly listed firms. Our results indicate that the new indicators could help central banks identify inflationary pressures in real time.