We use a Bayesian Threshold Vector Autoregression model identified through sign and narrative restrictions to uncover non-linearities in the propagation of energy supply shocks. We find that the transmission of energy supply shocks on consumer prices is stronger in high-inflation regimes, supporting nonlinear models. The faster pass thorough of energy supply shocks to consumer prices (excl. energy) cushions the drop in output in the short term. Energy supply shocks have a stronger impact on output in the medium-term with manufacturing being more adversely affected than GDP. Large energy supply shocks shift the economy to another state but after two and half years the mean-reversion to lower inflation implies a more moderate transmission mechanism, highlighting the importance of state-dependent impulse responses. The energy supply shocks between July 2021 and June 2022 are massive amounting to 3.9 standard deviations on average each month.
De Santis, R., Tornese, T., Energy supply shocks' nonlinearities on output and prices, <<ECB Working Paper Series>>, 2023; (2834): 1-50 [https://hdl.handle.net/10807/304997]
Energy supply shocks' nonlinearities on output and prices
Tornese, Tommaso
2023
Abstract
We use a Bayesian Threshold Vector Autoregression model identified through sign and narrative restrictions to uncover non-linearities in the propagation of energy supply shocks. We find that the transmission of energy supply shocks on consumer prices is stronger in high-inflation regimes, supporting nonlinear models. The faster pass thorough of energy supply shocks to consumer prices (excl. energy) cushions the drop in output in the short term. Energy supply shocks have a stronger impact on output in the medium-term with manufacturing being more adversely affected than GDP. Large energy supply shocks shift the economy to another state but after two and half years the mean-reversion to lower inflation implies a more moderate transmission mechanism, highlighting the importance of state-dependent impulse responses. The energy supply shocks between July 2021 and June 2022 are massive amounting to 3.9 standard deviations on average each month.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.