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This article draws on theory and empirical evidence to examine a number of factors behind movements in Canadian house prices. It begins with an overview of the movements in house prices in Canada, using regional data to highlight factors that influence prices over the long run. It then turns to the central theme, that there are medium-run movements in prices not accounted for by long-run factors. Drawing on recent Bank of Canada research, the article discusses several factors behind these medium-run movements, including interest rates, expected price appreciation and market liquidity. The article concludes by identifying areas for future research that would further our understanding of fluctuations in house prices.

When lenders cannot directly identify behavioural and rational borrowers, they use type scoring to track the likelihood of a borrower’s type. This leads to the partial pooling of borrowers, which results in rational borrowers subsidizing borrowing costs for behavioural borrowers. This, in turn, reduces the effectiveness of regulatory policies that target mistakes by behavioural borrowers.

Macroeconomic projections and risk analyses play an important role in guiding monetary policy decisions. Models are integral to this process. This paper discusses how the Bank of Canada brings research models and lessons learned from those models into the central bank projection environment.

We expect global potential output growth to increase from 2.7% in 2021 to 2.9% by 2024. Compared with the April 2021 assessment, global potential output growth is marginally slower. The current range for the US neutral rate is 2% to 3%, 0.25 percentage points higher than staff’s last assessment.

The Bank of Canada continues to use the Bitcoin Omnibus Survey (BTCOS) to monitor trends in Canadians’ awareness, ownership and use of Bitcoin. The most recent iteration was conducted in late 2018, following an 85 percent decline in the price of Bitcoin throughout the year.

We examine how demographic factors influence potential output, focusing on how the age distribution of the working-age population and the old-age dependency ratio affect aggregate productivity. Following Feyrer (2007), we emphasize that the contribution to aggregate productivity varies by age group, with middle-aged individuals (aged 40 to 49) being the most productive.

Based on recent research, this article discusses three ways that oil-futures prices can improve our understanding of current conditions and future prospects in the global market for crude oil. First, the response of the oil-futures curve can be used to identify the persistence of oil-price shocks and to obtain an indicator of the rate at which they will diminish. Second, the spread between the current futures price and the spot price of oil can be interpreted as an indicator of the precautionary demand for oil. Third, because oil-futures prices are volatile, forecasts of the future spot price of oil using futures prices should be supplemented with other information to improve their accuracy.

A multi-country consumer survey investigates why and how much households decreased their consumption in five key sectors after pandemic-related restrictions were lifted in Europe in July 2020. Beyond infection risk and precautionary saving motives, households also reported not missing some consumption items, which may indicate preference shifts and structural changes in the post-COVID-19 economy.

Unexpected changes in interest rates lead small firms to materially change their investment rate. Large firms, in contrast, show a smaller response. This suggests both that financial conditions are an important channel for transmitting monetary policy and that firm characteristics can help us better understand fluctuations in business investment.