Recently, Baumeister and Hamilton (henceforth: BH) have argued that existing studies of the global oil market fail to account for uncertainty about their identifying assumptions. They recommend an alternative econometric approach intended to address this concern by formulating priors on the...

This paper investigates the inflation effects of oil price expectations shocks constructed as functional shocks, i.e. as shifts in the entire oil futures term structure (both standard and risk-adjusted). The latter are then included in a vector autoregressive model with exogenous variables...

When quantifying the importance of supply and demand for oil price fluctuations, a wide range of estimates have been reported. Models identified via a sharp upper bound on the short-run price elasticity of supply find supply shocks to be minor drivers. In turn, when replacing the upper bound...

We estimate how energy shocks affect the functional distribution of income. Using structural vector autoregressions identified with the oil supply news instrument proposed by Kanzig (2021), we find that an increase in oil prices leads to a substantial and long-lasting decline in the wage share....

We present a weekly structural Vector Autoregressive (VAR) model of the US crude oil market. Exploiting weekly data we can explain short-run crude oil price dynamics, including those related with the COVID-19 pandemic and with the Russia's invasion of Ukraine. The model is set identified with a...

In this article we discuss the concepts of macroeconomic uncertainty, oil price uncertainty and oil price shocks. Given the relevance of oil and macroeconomic uncertainty in both academic research and the political sphere, we illustrate how economic uncertainty can be operationally defined and...

This work estimates the effect that fluctuations in oil prices have on changes in consumer prices in both the United States and the euro area. For many of the basic items in the basket of goods used to estimate inflation, the effects of oil price trends are divided into two components: the first...

There is a long tradition of using oil prices to forecast U.S. real GDP. It has been suggested that the predictive relationship between the price of oil and one-quarter ahead U.S. real GDP is nonlinear in that (1) oil price increases matter only to the extent that they exceed the maximum oil...