IDEAS home Printed from https://ideas.repec.org/p/cfm/wpaper/2411.html
   My bibliography  Save this paper

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
    as

    Download full text from publisher

    File URL: https://www.lse.ac.uk/CFM/assets/pdf/CFM-Discussion-Papers-2024/CFMDP2024-11-Paper.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    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. Oliver Pfauti, 2023. "The Inflation Attention Threshold and Inflation Surges," Papers 2308.09480, arXiv.org, revised Aug 2024.
    3. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. 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.
    3. 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).
    4. 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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Salomé Fofana & Paula Patzelt & Ricardo Reis, 2024. "Household Disagreement about Expected Inflation," Discussion Papers 2418, Centre for Macroeconomics (CFM).
    2. Kučerová, Zuzana & Pakši, Daniel & Koňařík, Vojtěch, 2024. "Macroeconomic fundamentals and attention: What drives european consumers’ inflation expectations?," Economic Systems, Elsevier, vol. 48(1).
    3. Olivier Coibion & Yuriy Gorodnichenko & Saten Kumar, 2018. "How Do Firms Form Their Expectations? New Survey Evidence," American Economic Review, American Economic Association, vol. 108(9), pages 2671-2713, September.
    4. David Finck & Peter Tillmann, 2022. "The Role of Global and Domestic Shocks for Inflation Dynamics: Evidence from Asia," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(5), pages 1181-1208, October.
    5. Li, Fei & Song, Yangbo & Zhao, Mofei, 2023. "Global manipulation by local obfuscation," Journal of Economic Theory, Elsevier, vol. 207(C).
    6. 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.
    7. Marco Del Negro & Michele Lenza & Giorgio E. Primiceri & Andrea Tambalotti, 2020. "What's Up with the Phillips Curve?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 51(1 (Spring), pages 301-373.
    8. Régis Barnichon & Geert Mesters, 2020. "Optimal policy perturbations," Economics Working Papers 1716, Department of Economics and Business, Universitat Pompeu Fabra.
    9. Chanelle Duley & Prasanna Gai, 2020. "When the penny doesn't drop - Macroeconomic tail risk and currency crises," National Institute of Economic and Social Research (NIESR) Discussion Papers 520, National Institute of Economic and Social Research.
    10. Tänzer, Alina, 2024. "The effectiveness of central bank purchases of long-term treasury securities: A neural network approach," IMFS Working Paper Series 204, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    11. Cai, Michael & Del Negro, Marco & Giannoni, Marc P. & Gupta, Abhi & Li, Pearl & Moszkowski, Erica, 2019. "DSGE forecasts of the lost recovery," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1770-1789.
    12. Janet L. Yellen, 2015. "Inflation Dynamics and Monetary Policy : A speech at the Philip Gamble Memorial Lecture, University of Massachusetts, Amherst, Amherst, Massachusetts, September 24, 2015," Speech 863, Board of Governors of the Federal Reserve System (U.S.).
    13. Born, Benjamin & Enders, Zeno & Müller, Gernot J., 2023. "On FIRE, news, and expectations," Working Papers 42, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    14. Günes Kamber & Madhusudan Mohanty & James Morley, 2020. "What drives inflation in advanced and emerging market economies?," BIS Papers chapters, in: Bank for International Settlements (ed.), Inflation dynamics in Asia and the Pacific, volume 111, pages 21-36, Bank for International Settlements.
    15. Gabriele Galati & Richhild Moessner & Maarten van Rooij, 2023. "The anchoring of long-term inflation expectations of consumers: insights from a new survey," Oxford Economic Papers, Oxford University Press, vol. 75(1), pages 96-116.
    16. Fédéric Holm-Hadulla & Kirstin Hubrich, 2017. "Macroeconomic Implications of Oil Price Fluctuations : A Regime-Switching Framework for the Euro Area," Finance and Economics Discussion Series 2017-063, Board of Governors of the Federal Reserve System (U.S.).
    17. Marianna Riggi & Sergio Santoro, 2015. "On the Slope and the Persistence of the Italian Phillips Curve," International Journal of Central Banking, International Journal of Central Banking, vol. 11(2), pages 157-197, March.
    18. Medina, J.P. & Mello, Miguel & Ponce, Jorge, 2024. "Heterogeneous inflation expectations: A call for customized monetary policy communication?," Journal of International Money and Finance, Elsevier, vol. 149(C).
    19. Pär Stockhammar & Pär Österholm, 2018. "Do inflation expectations granger cause inflation?," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 35(2), pages 403-431, August.
    20. Martin Geiger & Johann Scharler, 2021. "How Do People Interpret Macroeconomic Shocks? Evidence from U.S. Survey Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(4), pages 813-843, June.

    More about this item

    Keywords

    Great Inflation; Monetary policy; Inattention;
    All these keywords.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cfm:wpaper:2411. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Helen Power (email available below). General contact details of provider: https://edirc.repec.org/data/cmlseuk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.