Search

Previous research suggests that lower-income Canadians may have unique experiences with the use of payments, including the use of cash and digital payments. We conduct a case study using data from [the Canadian Financial Diaries project/Canadian financial diaries] to gain insight into how some lower-income Canadians pay.

Schembri studies Canada's post-World War II experience in introducing a floating exchange rate, including its effects on the Canadian economy and its influence on the development of macroeconomic theory. In particular, Canada's flexible exchange rate and high degree of capital mobility with the United States provided an unprecedented experiment for macroeconomic policy. The successes and difficulties encountered by Canadian authorities in managing monetary and fiscal policy under this regime drew the interest of researchers at the International Monetary Fund and elsewhere and had a significant impact on the development of the Mundell-Fleming model, the path-breaking innovation in modern open-economy macroeconomics.

Salespeople are widely employed in many industries. We leverage a unique data set on retail sales from a leading Chinese cold-drink manufacturer and information on the firm’s salespeople assignment rule to measure the causal effect of salespeople on product revenue.

Deputy Governor Lawrence Schembri discusses the international evidence of underlying determinants of long-term movements in house prices.

We use bid data from Government of Canada bond auctions between 1999 and 2021 to gauge the yield sensitivity of these bonds to the issuance amount. Our new metric estimates the demand function of the bidders at each auction and offers insights into the relationship between supply and yield of government bonds.

We study optimal monetary policy in an analytically tractable Heterogeneous Agent New Keynesian model. In the model, the central bank has an incentive to reduce consumption inequality in addition to keeping economic activity at its efficient level and inflation stable.

A put option is a financial contract that gives the holder the right to sell an asset at a specific price by (or at) a specific date. A put option can therefore provide its holder insurance against a large drop in the stock price. This makes the prices of put options an ideal source of information for a market-based measure of the probability of a firm’s default.

We construct a macroeconomic estimate of total AI production in the United States, combining inference and R&D/training activities with quality adjustments to account for algorithmic progress. We then develop a nascent framework for "AI GDP" that tracks the AI economy as a coherent whole, complementing traditional national accounts.

We introduce generalized autoregressive gamma (GARG) processes, a class of autoregressive and moving-average processes in which each conditional moment dynamic is driven by a different and identifiable moving average of the variable of interest. We show that using GARG processes reduces pricing errors by substantially more than using existing autoregressive gamma processes does.

Although credit cards are more expensive for merchants to accept than cash or debit cards, merchants typically pass through their costs evenly to all customers. Along with consumer card rewards and banking fees, this creates cross-subsidies between payment methods. Because higher-income individuals tend to use credit cards more than those with lower incomes, our results indicate that these cross-subsidies might lead to regressive distributional effects.