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We provide empirical evidence on the impact of oil supply shocks on global aggregates. To do this, we first extract structural oil supply shocks from a standard oil-price determination model found in the literature.

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.

Stephen Murchison reviews the findings of recent Bank of Canada research on the relative merits of inflation targeting and price-level targeting (PLT) for a small open economy, such as Canada's, that is susceptible to large and persistent terms-of-trade shocks.

During the COVID-19 financial market crisis, central banks introduced programs to support liquidity in important core funding markets. As well as acting as a backstop to market prices, these programs produce useful trading data on prevailing market conditions. When summary information from this data is shared publicly, it can help market participants understand current conditions and aid the recovery of market functioning.

This document provides information about the functions, programs, activities and related information holdings of government institutions subject to the Access to Information Act and the Privacy Act.

This note finds evidence of a positive and nonlinear relationship between mortgage interest costs (MIC) and rental inflation: the impact of MIC on rents is small when population growth is near its historical norm, but significantly stronger during periods of rapid population growth.

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.

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.

Underlying wage growth has fallen short of what would be consistent with an economy operating with little or no slack. While many factors could explain this weakness, the availability of additional labour resources from informal (“gig”) work—not fully captured in standard measures of employment and hours worked—may play a role.

Many reports and analyses interpret the release of new economic data based on the headline surprise—for instance, total inflation, real GDP growth and the unemployment rate. However, we find that headline news alone cannot adequately explain the responses of market prices to new information. Rather, market prices react more strongly, on average, to non-headline news such as the composition of GDP growth, quality of jobs created and revisions to past data. Thus, tracking the impact of non-headline information released on the news day is crucial in analyzing how markets interpret and react to new economic data.