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Discussion Paper
W(h)ither U.S. Crude Oil Production?
People across the world have cut back sharply on travel due to the Covid-19 pandemic, working from home and cancelling vacations and other nonessential travel. Industrial activity is also off sharply. These forces are translating into an unprecedented collapse in global oil demand. The nature of the decline means that demand is unlikely to respond to the steep drop in oil prices, so supply will have to fall in tandem. The rapid increase in U.S. oil production of recent years was already looking difficult to sustain before the pandemic, as evidenced by the limited profitability of the sector. ...
Working Paper
OPEC in the News
This paper introduces a newspaper article count index related to OPEC that rises in response to important OPEC meetings and events connected with OPEC production levels. I use this index to measure how interest in OPEC varies over time and investigate how oil price volatility behaves when the index unexpectedly changes. I find that unexpected increases in the newspaper index are strongly associated with higher levels of oil price volatility, both realized and implied. In some cases, interest levels and price volatility appear to be driven by the OPEC event itself, such as the Iraq invasion of ...
Working Paper
The Shale Revolution and the Dynamics of the Oil Market
We build and estimate a dynamic, structural model of the world oil market in order to quantify the impact of the shale revolution. We model the shale revolution as a dramatic decrease in shale production costs and explore how the resultant increase in shale production affects the level and volatility of oil prices over our sample. We find that oil prices in 2018 would have been roughly 36% higher had the shale revolution not occurred and that the shale revolution implies a reduction in current oil price volatility around 25% and a decline in long-run volatility of over 50%.
Working Paper
How to Construct Monthly VAR Proxies Based on Daily Futures Market Surprises
It is common in applied work to estimate responses of macroeconomic aggregates to news shocks derived from surprise changes in daily futures prices around the date of policy announcements. This requires mapping the daily surprises into a monthly shock that may be used as an external instrument in a monthly VAR model or local projection. The standard approach has been to sum these daily surprises over the course of a given month when constructing the monthly proxy variable, ignoring the accounting relationship between daily and average monthly price data. In this paper, I provide a new ...