From the NY Fed, a new measure (Benigno, di Giovanni, Groen and Noble):
From the post:
[W]e propose a new gauge, the Global Supply Chain Pressure Index (GSCPI), which integrates a number of commonly used metrics with an aim to provide a more comprehensive summary of potential disruptions affecting global supply chains.
The index itself:
To estimate our GSCPI measure, we thus have available a data set of twenty-seven variables: the three country-specific supply chain variables for each of the economies in our sample (the euro area, China, Japan, South Korea, Taiwan, the U.K., and the U.S.), the two global shipping rates, and the four price indices summarizing airfreight costs between the U.S., Asia, and Europe. All these variables are corrected for demand effects to the greatest possible extent, as described previously. This data set is made up of monthly time series of uneven length: the advanced economies’ supply chain variables all start in 1997, for Japan they start in 2001 and for the other Asian economies 2004, the Harpex index starts in 2001, the BDI goes back to 1985 and the BLS airfreight price indices go back to 2005 on a monthly frequency and are quarterly from 2005 to 1997. Our aim is to estimate a common, or “global,” component from these time series. To be able to do that while also dealing with data gaps, we follow Stock and Watson (2002) and extract this common component for the 1997-2021 period through a principal component analysis while simultaneously filling the data gaps using this estimated common component.
The authors conclude that the pressures are extraordinarily high right now, but seem to moderating in the last observation.
For a graphical depiction of why supply chain pressures matter, see this post, Figure 3 – cost push shock.
Figure 3: Cost-push shock.