Oil burden = US spending on petroleum as a share of GDP : (WTI × US consumption × 365) / GDP
During the 8 main US oil shocks since 1970 recessions almost always appeared once the burden gets above about 4% of GDP. For 2026 the same math puts the peak at about 2.6% so that is well below the historical recessionary zone ; as a consequence the data suggests this shock is much more likely to be inflationary than recessionary on its own. Those two nuances have to be underlined : 1990 is the near-miss (3.7%) and 2011 is the only clear false positive.
Sources: FRED, EIA Monthly Energy Review, NBER Business Cycle Dating Committee.
Logistic regression with that point cloud would divide the space very differently and would suggest that we are currently in danger.
atchn01 on
Why did you include the x-a if that doesn’t factor in your analysis?
openfolio_dave on
I will be honest this is really hard to understand at a glance… Which misses the point of visualization. Data viz is mean to make a message clear in a picture.
What are we saying here? There are so many dimensions with varying dimensions and colors. Years scattered, and x y axis are another thing, and then colors another.
That is 4D.
Humans can’t comprehend 4 dimensions intuitively without high effort.
We can see a cube in our minds with some effort, slightly harder than a 2D square. But seeing a hyper cube is really hard.
spazierer on
Wow, thanks for this. I didn’t know that prices had already returned to pre-shock levels. /s
pistacccio on
What happens when you also plot the first 50 days of all the past crises? I suspect the current crisis will then look like one of the worst.
Low_Ability4450 on
The signal historically is the level of the oil burden (~4% of GDP).
At about 2.6% today we’re still well below that range.
nathan555 on
NBER declared a recession starting March 2001, which falls within the 18 month period. Which means there are only 2 data points with the full 18 months history on this graph where a recession did not follow an oil price shock.
8 Comments
Oil burden = US spending on petroleum as a share of GDP : (WTI × US consumption × 365) / GDP
During the 8 main US oil shocks since 1970 recessions almost always appeared once the burden gets above about 4% of GDP. For 2026 the same math puts the peak at about 2.6% so that is well below the historical recessionary zone ; as a consequence the data suggests this shock is much more likely to be inflationary than recessionary on its own. Those two nuances have to be underlined : 1990 is the near-miss (3.7%) and 2011 is the only clear false positive.
Sources: FRED, EIA Monthly Energy Review, NBER Business Cycle Dating Committee.
Tools: Python (Matplotlib) & Illustrator
Dataset + analysis: [https://eco3min.fr/en/oil-burden-gdp-recession-threshold/](https://eco3min.fr/en/oil-burden-gdp-recession-threshold/)
Logistic regression with that point cloud would divide the space very differently and would suggest that we are currently in danger.
Why did you include the x-a if that doesn’t factor in your analysis?
I will be honest this is really hard to understand at a glance… Which misses the point of visualization. Data viz is mean to make a message clear in a picture.
What are we saying here? There are so many dimensions with varying dimensions and colors. Years scattered, and x y axis are another thing, and then colors another.
That is 4D.
Humans can’t comprehend 4 dimensions intuitively without high effort.
We can see a cube in our minds with some effort, slightly harder than a 2D square. But seeing a hyper cube is really hard.
Wow, thanks for this. I didn’t know that prices had already returned to pre-shock levels. /s
What happens when you also plot the first 50 days of all the past crises? I suspect the current crisis will then look like one of the worst.
The signal historically is the level of the oil burden (~4% of GDP).
At about 2.6% today we’re still well below that range.
NBER declared a recession starting March 2001, which falls within the 18 month period. Which means there are only 2 data points with the full 18 months history on this graph where a recession did not follow an oil price shock.
[https://www.nber.org/reporter/fall-2001/business-cycle-peak-march-2001?page=1&perPage=50](https://www.nber.org/reporter/fall-2001/business-cycle-peak-march-2001?page=1&perPage=50)