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Estimating the rise in expected inflation from higher energy prices

Author

Listed:
  • Paula Patzelt

    (London School of Economics (LSE)
    Centre for Macroeconomics (CFM))

  • Ricardo Reis

    (London School of Economics (LSE)
    Centre for Macroeconomics (CFM))

Abstract

When the price of electricity increases by 1%, households’ average expected inflation increases by 1.0 to 1.3 basis points. But, if those expectations have become unanchored, as happened between the start of 2021 and 2023, then the effect is higher by 0.2 to 1.6 basis points. This paper arrives at these estimates by exploiting variation both in the time series, and especially in the cross section, from newly-available public data on expected inflation by Euro area households across region, gender, education, and income, and on the cost of energy across region and source. The impact of exogenous shocks to energy prices on expected inflation increases for 8 to 12 months, but they can only account for a small share of the rise in expected inflation in 2021-23.

Suggested Citation

  • Paula Patzelt & Ricardo Reis, 2024. "Estimating the rise in expected inflation from higher energy prices," Discussion Papers 2411, Centre for Macroeconomics (CFM).
    • Handle: RePEc:cfm:wpaper:2411
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    References listed on IDEAS

    as
    1. Olivier Coibion & Yuriy Gorodnichenko, 2015. "Is the Phillips Curve Alive and Well after All? Inflation Expectations and the Missing Disinflation," American Economic Journal: Macroeconomics, American Economic Association, vol. 7(1), pages 197-232, January.
    2. Benjamin Wong, 2015. "Do Inflation Expectations Propagate the Inflationary Impact of Real Oil Price Shocks?: Evidence from the Michigan Survey," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(8), pages 1673-1689, December.
    3. Oliver Pfauti, 2023. "The Inflation Attention Threshold and Inflation Surges," Papers 2308.09480, arXiv.org, revised Aug 2024.
    4. Angeletos, G.-M. & Lian, C., 2016. "Incomplete Information in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 1065-1240, Elsevier.
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    Cited by:

    1. Vedanta Dhamija & Ricardo Nunes & Roshni Tara, 2023. "House Price Expectations and Inflation Expectations: Evidence from Survey Data," School of Economics Discussion Papers 0823, School of Economics, University of Surrey.
    2. Hack, Lukas & Rostam-Afschar, Davud, 2024. "Understanding Firm Dynamics with Daily Data," VfS Annual Conference 2024 (Berlin): Upcoming Labor Market Challenges 302376, Verein für Socialpolitik / German Economic Association.
    3. Bonomo, Marco & Carvalho, Carlos & Eusepi, Stefano & Perrupato, Marina & Abib, Daniel & Ayres, João & Matos, Silvia, 2024. "Abrupt monetary policy change and unanchoring of inflation expectations," Journal of Monetary Economics, Elsevier, vol. 145(S).
    4. Lorenzo Mori & Gert Peersman, 2024. "Estimating the Macroeconomic Effects of Oil Supply News," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 24/1099, Ghent University, Faculty of Economics and Business Administration.
    5. Kilian, Lutz, 2024. "How to construct monthly VAR proxies based on daily surprises in futures markets," Journal of Economic Dynamics and Control, Elsevier, vol. 168(C).

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    More about this item

    Keywords

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    JEL classification:

    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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