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. Impulse response functions are then estimated using local projections. This...

U.S. retail food price increases in recent years may seem large in nominal terms, but after adjusting for inflation have been quite modest even after the change in U.S. biofuel policies in 2006. In contrast, increases in the real prices of corn, soybeans, wheat and rice received by U.S. farmers...

We analyze the evolution and drivers of inflation during the pandemic and the likely trajectory of inflation in the near-term using an event study of inflation around global recessions and a factor-augmented vector auto-regression (FAVAR) model. We report three main results. First, the decline...

This paper studies the role of global factors in causing common movements in consumer price inflation, with particular focus on the food, housing and energy sub-indices. It uses a comprehensive dataset of 223 countries and territories collected from national and international sources. Global...

This paper investigates the causes of extreme fluctuations in commodity prices from 1990 to 2010. Analyzing two very distinct commodities-crude oil and fine wine, we find that macroeconomic factors are the main determinants of commodity prices. Although supply constraints have the expected...

Inflation co-moves across countries and several papers have shown that lags of this common inflation can help to forecast country inflation. This paper constructs forecasts of common (or 'global') inflation using survey forecasts of country inflation. These forecasts of global inflation have...

Forecasts of global economic activity and inflation are important inputs when conducting monetary policy in small open economies such as Canada. As part of the Bank of Canada's broad agenda to augment its short-term forecasting tools, the author constructs simple mixed-frequency forecasting...