Granger causality test results: Effects of steel prices on end-use goods prices

End-use product Steel product(s) k-lags χ^2 Probability of significance Causality Average effect of 1% price increase
Durable goods Iron and steel 1 3.5322 94.0% Weak 0.02%
Durable goods Cold-rolled sheet and strip 1 1.0615 69.7% N 0.00%
Hot-rolled sheet and strip, incl. tin mill products 1 0.6951 59.6% N 0.00%
Hot-rolled bars, plates, and structural shapes, carbon 1 1.0796 70.1% N 0.00%
New motor vehicles Cold-rolled sheet and strip 2 1.5724 54.4% N 0.00%
Motor vehicle parts Hot-rolled sheet and strip, incl. tin mill products 4 2.6699 38.6% N 0.00%
Hot-rolled bars, plates, and structural shapes, carbon 4 5.8361 78.8% N 0.00%
Construction machinery Hot-rolled bars, plates, and structural shapes, carbon 1 0.2072 35.1% N 0.00%
Nonresidential construction goods Hot-rolled bars, plates, and structural shapes, carbon 1 5.2682 97.8% Y 0.10%
Electrical equipment and household appliances Cold-rolled sheet and strip 2 1.6912 80.7% N 0.00%
Steel wire, carbon 2 0.4380 49.2% N 0.00%
Food at home Hot-rolled sheet and strip, incl. tin mill products 3 8.8442 96.9% Y 0.05%

Source: Authors analysis of BLS (2021b, 2021c, and 2021d) and FRED (2021) data.

View the underlying data on epi.org.