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How do oil price forecast errors impact inflation forecast errors? An empirical analysis from US, French and UK inflation forecasts

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  • Frédérique Bec

    (THEMA - Théorie économique, modélisation et applications - CNRS - Centre National de la Recherche Scientifique - CY - CY Cergy Paris Université)

  • Annabelle de Gaye

    (THEMA - Théorie économique, modélisation et applications - CNRS - Centre National de la Recherche Scientifique - CY - CY Cergy Paris Université)

Abstract

This paper proposes an empirical investigation of the impact of oil price forecast errors on inflation forecast errors for three different sets of recent forecast data: the median of SPF inflation forecasts for the United States and the Central Bank inflation forecasts for France and the United Kingdom. Mainly two salient points emerge from our results. First, there is a significant contribution of oil price forecast errors to the explanation of inflation forecast errors, whatever the country or the period considered. Second, the pass-through of oil price forecast errors to inflation forecast errors is typically multiplied by around 2 when the oil price volatility is large.
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Suggested Citation

  • Frédérique Bec & Annabelle de Gaye, 2016. "How do oil price forecast errors impact inflation forecast errors? An empirical analysis from US, French and UK inflation forecasts," Post-Print hal-02980184, HAL.
    • Handle: RePEc:hal:journl:hal-02980184
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    Cited by:

    1. Salisu, Afees A. & Ademuyiwa, Idris & Isah, Kazeem O., 2018. "Revisiting the forecasting accuracy of Phillips curve: The role of oil price," Energy Economics, Elsevier, vol. 70(C), pages 334-356.
    2. Salisu, Afees A. & Isah, Kazeem O., 2018. "Predicting US inflation: Evidence from a new approach," Economic Modelling, Elsevier, vol. 71(C), pages 134-158.
    3. Benchimol, Jonathan & El-Shagi, Makram, 2020. "Forecast performance in times of terrorism," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 91, pages 386-402.
    4. Ouzan, Samuel & Six, Pierre, 2025. "The demand for hedging of oil producers: A tale of risk and regret," European Journal of Operational Research, Elsevier, vol. 321(1), pages 330-343.
    5. Alsamara, Mouyad & Mrabet, Zouhair & Hatemi-J, Abdulnasser, 2020. "Pass-through of import cost into consumer prices and inflation in GCC countries: Evidence from a nonlinear autoregressive distributed lags model," International Review of Economics & Finance, Elsevier, vol. 70(C), pages 89-101.
    6. Pal, Debdatta & Mitra, Subrata Kumar, 2019. "Asymmetric oil price transmission to the purchasing power of the U.S. dollar: A multiple threshold NARDL modelling approach," Resources Policy, Elsevier, vol. 64(C).
    7. Alsamara, Mouyad & Mrabet, Zouhair & Dombrecht, Michel, 2018. "Asymmetric import cost pass-through in GCC countries: Evidence from nonlinear panel analysis," Economic Modelling, Elsevier, vol. 75(C), pages 432-440.
    8. Che, Ming & Wang, Li & Li, Yujia, 2024. "Global economic policy uncertainty and oil price uncertainty: Which is more important for global economic activity?," Energy, Elsevier, vol. 310(C).
    9. Sun, Qingru & An, Haizhong & Gao, Xiangyun & Guo, Sui & Wang, Ze & Liu, Siyao & Wen, Shaobo, 2019. "Effects of crude oil shocks on the PPI system based on variance decomposition network analysis," Energy, Elsevier, vol. 189(C).
    10. Agata Kliber & Magdalena Szyszko & Mariusz Próchniak & Aleksandra Rutkowska, 2023. "Impact of uncertainty on inflation forecast errors in Central and Eastern European countries," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 13(3), pages 535-574, December.
    11. Salisu, Afees A. & Isah, Kazeem O., 2018. "Predicting US inflation: Evidence from a new approach," Economic Modelling, Elsevier, vol. 71(C), pages 134-158.

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