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We simulate the impact of a central bank digital currency (CBDC) on consumer adoption, merchant acceptance and use of different payment methods. Modest frictions that deter consumer adoption of a CBDC inhibit its market penetration. Minor pricing responses by financial institutions and payment service providers further reduce the impact of a CBDC.

We develop and estimate a search model in which identical consumers trade with price-setting firms that differ in productivity. We use the estimated model to characterize the qualitative and quantitative differences in prices and markups across firms. We explore how individual firms respond to changes in cost and demand and how they pass these through to their prices and markup.

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.

We find that foreign central banks own a large share of Government of Canada (GoC) bonds and tend to hold their positions for longer than other types of asset managers. This buy-and-hold behaviour could offer benefits. For example, foreign central banks may be less likely than other asset managers to sell bonds and add to strains on market liquidity in periods of turmoil. However, foreign central banks’ buy-and-hold behaviour combined with their minimal lending of GoC bonds in securities-financing markets, as observed in our available data, can potentially lower liquidity because fewer GoC bonds are available for others to transact in secondary markets. Indeed, we find that higher levels of foreign central banks’ GoC bond holdings are related to lower liquidity.

I quantify the importance of changes in household preferences on household inflation rates using 11 years of scanner data for 11,000 US households. My results suggest that changes in household preferences are an important driver of inflation dynamics at the household level.

The industry standard for seasonally adjusting data, X-13ARIMA-SEATS, is not suitable for high-frequency data. We summarize and assess several of the most popular seasonal adjustment methods for weekly data given the increased availability and promise of non-traditional data at higher frequencies.

We conduct surveys to study how consumer spending responds to higher inflation expectations. Most respondents spend the same, sticking to fixed budget plans or not considering inflation for spending decisions. About 20% decrease spending because they feel poorer and cut spending to invest in inflation-proof assets. Very few increase spending.

This note analyzes mortgage stress tests, a macroprudential tool. We find that when mortgage stress tests are applied to all mortgage purchase originations, they improve credit quality and reduce credit and house price growth. They also improve the resilience of borrowers to financial shocks, such as the large increase in interest rates during 2022–23.

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 analyze the transmission of monetary policy during different phases of a sectoral demand reallocation episode when there are frictions to increasing production in a sector. Monetary policy is more effective in reducing inflation when a larger proportion of sectors are expanding or expect to expand in the near future.