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We use Canadian data to examine how monetary policy affects house prices and the consumer price index for rent through exogenous changes in the mortgage interest rates. It finds that the price and rent impacts operate through various channels and that these impacts vary by region.

Banks’ business interactions create a network of relationships that are hidden in the correlations of bank stock returns. But for policy interventions, we need causality to understand how the network changes. Thus, this paper looks for the causal network anticipated by investors.

This note introduces several market-based indicators and examines how they can further inform the Bank of Canada’s vulnerability assessment of Canadian financial institutions. Market-based indicators of leverage suggest that the solvency risk for major Canadian banks has increased since the beginning of the oil-price correction in the second half of 2014.

We find the top 10% of the income distribution accounts for three-quarters of the gap in GDP per adult between Canada and the United States. The large gaps in income for high-income earners help distinguish between alternative explanations of this persistent gap in GDP per adult.

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.”

This paper shows point identification in first-price auction models with risk aversion and unobserved auction heterogeneity by exploiting multiple bids from each auction and variation in the number of bidders. The required exclusion restriction is shown to be consistent with a large class of entry models.

Senior Deputy Governor Carolyn Rogers looks at the mortgage market in Canada—past, present and future.

We investigate the unintended consequences of the Home Affordable Refinance Program (HARP). Originally designed to help borrowers refinance after the 2008–09 global financial crisis, HARP inadvertently strengthened the market power of incumbent lenders by creating a cost advantage for them. Despite a 2013 policy rectifying this cost advantage, we still find significant welfare losses for borrowers.

We present a novel database of real-time data and forecasts from the Bank of Canada’s staff economic projections. We then provide a forecast evaluation for GDP growth and CPI inflation since 1982: we compare the staff forecasts with those from commonly used time-series models estimated with real-time data and with forecasts from other professional forecasters and provide standard bias tests.

We explore the consumer value proposition of a hypothetical Digital Canadian Dollar, adoption considerations and the users who would benefit most from this potential new payment method. We employ a design-thinking consultation methodology, allowing participants to interact with research prototypes of increasing complexity to reveal user preferences, constraints and adoption influences.