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Why do BigTech platforms introduce payment services? We explore this using a model in which a monopoly platform faces a trade-off between the costs associated with privacy concerns and the revenue from data services. We then analyze the feedback effects between data and payments.

Financial market expectations regarding future changes in the target for the overnight rate of interest are an important source of information for the Bank of Canada. Financial markets are the mechanism through which the policy rate affects other financial variables, such as longer-term interest rates, the exchange rate, and other asset prices. An accurate measure of their expectations can therefore help policy-makers assess the potential impact of contemplated changes. Johnson focuses on the expectations hypothesis, which measures expectations of future levels of the target overnight rate as implied by current money market yields. Although expectations can be derived from the current yield on any short-term fixed-income asset, some assets have proven to be more accurate predictors than others. The implementation of a policy of fixed-announcements dates has coincided with the increased predictive power of these short-term assets. As a result of this improvement, a relatively simple model of the yield curve can now provide an accurate measure of financial market expectations.

We develop a closed economy model to study the interactions among sovereign risk premia, fiscal limits, and fiscal policy. The stochastic fiscal limits, which measure the ability and willingness of the government to service its debt, arise endogenously from a dynamic Laffer curve.

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.

Using an economic model as well as survey data from the Bank of Canada, we study what factors influence the adoption of Bitcoin in Canada.

We find that the CPI and PPI inflation indexes co-moved strongly throughout the late 20th century, but their correlation has fallen substantially since the early 2000s. We offer a structural explanation for this divergence based on the growth of global supply chains since 2000. This finding offers a unique perspective for the future design of optimal monetary policy.

Existing studies show that U.S. Treasury bond price changes are mainly driven by public information shocks, as manifested in macroeconomic news announcements and events. The literature also shows that heterogeneous private information contributes significantly to price discovery for U.S. Treasury securities.

We simulate introducing a central bank digital currency (CBDC) and consider consumer adoption, merchant acceptance and usage at the point of sale. Modest adoption frictions significantly inhibit CBDC market penetration along all three dimensions. Incumbent responses to restore pre-CBDC market shares are moderate to small and further reduce the impact of a CBDC.

This paper examines the welfare cost of rare housing disasters characterized by large drops in house prices. I construct an overlapping generations general equilibrium model with recursive preferences and housing disaster shocks.

Does consumption smoothing fundamentally decrease during macroeconomic disasters? This paper uses a large historical dataset (1870–2016) for 16 industrial economies to show that during macroeconomic disasters (e.g., wars, pandemics, depressions) aggregate consumption and income are significantly less decoupled than during normal times.