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The pass-through to inflation of gas price shocks

Author

Listed:
  • Lucía López

    (BANCO DE ESPAÑA)

  • Florens Odendahl

    (BANCO DE ESPAÑA)

  • Susana Párraga

    (EUROPEAN CENTRAL BANK)

  • Edgar Silgado-Gómez

    (BANCO DE ESPAÑA)

Abstract

This paper uses a Bayesian Structural Vector Autoregressive (BSVAR) framework to estimate the pass-through of unexpected gas price supply shocks to HICP inflation in the euro area and its four largest economies. Compared with oil price shocks, gas price shocks have an approximately one-third smaller pass-through to headline inflation. Country-specific results indicate that gas price increases matter more for German, Spanish and Italian inflation than for French inflation, hinging on the reliance on energy commodities in consumption, production and different electricity price regulations. Consistent with gas becoming a prominent energy commodity in the euro area, including time-variation through a time-varying parameter BVAR demonstrates a substantially larger impact of gas price shocks on HICP inflation in recent years. The empirical estimates are then rationalised using a New Keynesian Dynamic Stochastic General Equilibrium (NK-DSGE) model augmented with energy. In the model, the elasticity of substitution between gas and non-energy inputs plays a critical role in explaining the inflationary effects of gas shocks. A decomposition of the recent inflation dynamics into the model’s structural shocks reveals a larger contribution of gas shocks compared with oil shocks.

Suggested Citation

  • Lucía López & Florens Odendahl & Susana Párraga & Edgar Silgado-Gómez, 2025. "The pass-through to inflation of gas price shocks," Working Papers 2512, Banco de España.
  • Handle: RePEc:bde:wpaper:2512
    DOI: https://doi.org/10.53479/39118
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    More about this item

    Keywords

    natural gas and oil shocks; inflation; Bayesian VARs; New Keynesian DSGE;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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