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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.

Building on our earlier quantum algorithm, this paper shows that reordering queued payments can significantly reduce liquidity needs. The algorithm performs well on smaller payment batches, while traditional algorithms can process larger batches and deliver greater savings. Machine learning also helps identify which payment patterns offer the greatest potential for improvement.

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 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.

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

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.”

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 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.

We examine the role of debt in amplifying and propagating recessions. Firms’ debt adjustment makes recessions deeper but makes expansions gradual. In particular, when the aggregate business leverage is ten percentage points above average, the half-life of the recovery doubles.

Modeling and estimating persistent discrete data can be challenging. In this paper, we use an autoregressive panel probit model where the autocorrelation in the discrete variable is driven by the autocorrelation in the latent variable. In such a non-linear model, the autocorrelation in an unobserved variable results in an intractable likelihood containing high-dimensional integrals.