IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v126y2023ics0140988323004486.html
   My bibliography  Save this article

What is the role of perceived oil price shocks in inflation expectations?

Author

Listed:
  • An, Zidong
  • Sheng, Xuguang Simon
  • Zheng, Xinye

Abstract

Not much. We identify the perceived oil price shock, as well as perceived global demand and supply shocks, using sign restrictions in a factor-augmented vector autoregression model that includes forecasts for crude oil price growth, real GDP growth, and inflation across 84 economies. The perceived oil price shock explains only 10% of the fluctuations, on average, in global inflation expectations from January 2012 to December 2022, and accounts for an even smaller fraction during the COVID-19 pandemic. Allowing for the oil price noise shock – reflecting exogenous shifts in agents’ optimism and pessimism – does not materially change the limited pass-through of the perceived oil price shock to inflation expectations. In contrast, perceived global supply and demand shocks dominate, especially since the onset of the pandemic. Over the first eight months, professional forecasters viewed the pandemic, on net, as a negative demand shock and lowered their short-term inflation expectations. In early 2021, professionals quickly switched their views and sharply increased their inflation expectations amid burgeoning and persistent supply chain disruptions and labor constraints.

Suggested Citation

  • An, Zidong & Sheng, Xuguang Simon & Zheng, Xinye, 2023. "What is the role of perceived oil price shocks in inflation expectations?," Energy Economics, Elsevier, vol. 126(C).
  • Handle: RePEc:eee:eneeco:v:126:y:2023:i:c:s0140988323004486
    DOI: 10.1016/j.eneco.2023.106950
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988323004486
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2023.106950?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Clements, Michael P. & Galvão, Ana Beatriz, 2021. "Measuring the effects of expectations shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 124(C).
    2. Jonathan J Adams & Philip Barrett, 2022. "Shocks to Inflation Expectations," Working Papers 001007, University of Florida, Department of Economics.
    3. Jongrim Ha & M. Ayhan Kose & Franziska Ohnsorge, 2021. "Inflation During the Pandemic: What Happened? What is Next?," Koç University-TUSIAD Economic Research Forum Working Papers 2108, Koc University-TUSIAD Economic Research Forum.
    4. Alquist, Ron & Kilian, Lutz & Vigfusson, Robert J., 2013. "Forecasting the Price of Oil," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 427-507, Elsevier.
    5. Chatterjee, Pratiti & Milani, Fabio, 2020. "Perceived uncertainty shocks, excess optimism-pessimism, and learning in the business cycle," Journal of Economic Behavior & Organization, Elsevier, vol. 179(C), pages 342-360.
    6. Knut Are Aastveit & Hilde C. Bjørnland & Jamie L. Cross, 2023. "Inflation Expectations and the Pass-Through of Oil Prices," The Review of Economics and Statistics, MIT Press, vol. 105(3), pages 733-743, May.
    7. Kilian, Lutz & Zhou, Xiaoqing, 2022. "The impact of rising oil prices on U.S. inflation and inflation expectations in 2020–23," Energy Economics, Elsevier, vol. 113(C).
    8. Benhima, Kenza & Poilly, Céline, 2021. "Does demand noise matter? Identification and implications," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 278-295.
    9. Kyle Jurado & Sydney C. Ludvigson & Serena Ng, 2015. "Measuring Uncertainty," American Economic Review, American Economic Association, vol. 105(3), pages 1177-1216, March.
    10. Choi, Sangyup & Furceri, Davide & Loungani, Prakash & Mishra, Saurabh & Poplawski-Ribeiro, Marcos, 2018. "Oil prices and inflation dynamics: Evidence from advanced and developing economies," Journal of International Money and Finance, Elsevier, vol. 82(C), pages 71-96.
    11. Jonas Dovern & Ulrich Fritsche & Jiri Slacalek, 2012. "Disagreement Among Forecasters in G7 Countries," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1081-1096, November.
    12. Zeno Enders & Michael Kleemann & Gernot J. Muller, 2021. "Growth Expectations, Undue Optimism, and Short-Run Fluctuations," The Review of Economics and Statistics, MIT Press, vol. 103(5), pages 905-921, December.
    13. Ozturk, Ezgi O. & Sheng, Xuguang Simon, 2018. "Measuring global and country-specific uncertainty," Journal of International Money and Finance, Elsevier, vol. 88(C), pages 276-295.
    14. Balleer, Almut & Link, Sebastian & Menkhoff, Manuel & Zorn, Peter, 2020. "Demand or Supply? Price Adjustment during the COVID-19 Pandemic," IZA Discussion Papers 13568, Institute of Labor Economics (IZA).
    15. Cavallo, Alberto & Kryvtsov, Oleksiy, 2023. "What can stockouts tell us about inflation? Evidence from online micro data," Journal of International Economics, Elsevier, vol. 146(C).
    16. 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.
    17. Binder, Carola Conces, 2018. "Inflation expectations and the price at the pump," Journal of Macroeconomics, Elsevier, vol. 58(C), pages 1-18.
    18. Milani, Fabio, 2009. "Expectations, learning, and the changing relationship between oil prices and the macroeconomy," Energy Economics, Elsevier, vol. 31(6), pages 827-837, November.
    19. Jesse LaBelle & Ana Maria Santacreu, 2022. "Global Supply Chain Disruptions and Inflation During the COVID-19 Pandemic," Review, Federal Reserve Bank of St. Louis, vol. 104(2), pages 78-91.
    20. Raffaella Giacomini & Vasiliki Skreta & Javier Turen, 2020. "Heterogeneity, Inattention, and Bayesian Updates," American Economic Journal: Macroeconomics, American Economic Association, vol. 12(1), pages 282-309, January.
    21. Fabio Milani, 2011. "Expectation Shocks and Learning as Drivers of the Business Cycle," Economic Journal, Royal Economic Society, vol. 121(552), pages 379-401, May.
    22. Meyer, Brent H. & Prescott, Brian & Sheng, Xuguang Simon, 2022. "The impact of the COVID-19 pandemic on business expectations," International Journal of Forecasting, Elsevier, vol. 38(2), pages 529-544.
    23. Scott R. Baker & Tucker S. McElroy & Xuguang S. Sheng, 2020. "Expectation Formation Following Large, Unexpected Shocks," The Review of Economics and Statistics, MIT Press, vol. 102(2), pages 287-303, May.
    24. Kilian,Lutz & Lütkepohl,Helmut, 2018. "Structural Vector Autoregressive Analysis," Cambridge Books, Cambridge University Press, number 9781107196575, November.
    25. Lutz Kilian & Xiaoqing Zhou, 2022. "Oil prices, gasoline prices, and inflation expectations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 867-881, August.
    26. Kyrtsou, Catherine & Labys, Walter C., 2006. "Evidence for chaotic dependence between US inflation and commodity prices," Journal of Macroeconomics, Elsevier, vol. 28(1), pages 256-266, March.
    27. Fuhrer, Jeff, 2017. "Expectations as a source of macroeconomic persistence: Evidence from survey expectations in a dynamic macro model," Journal of Monetary Economics, Elsevier, vol. 86(C), pages 22-35.
    28. Lahiri, Kajal & Sheng, Xuguang, 2008. "Evolution of forecast disagreement in a Bayesian learning model," Journal of Econometrics, Elsevier, vol. 144(2), pages 325-340, June.
    29. Carola Binder & Tucker S. Mcelroy & Xuguang S. Sheng, 2022. "The Term Structure of Uncertainty: New Evidence from Survey Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(1), pages 39-71, February.
    30. Valery Charnavoki & Juan J. Dolado, 2014. "The Effects of Global Shocks on Small Commodity-Exporting Economies: Lessons from Canada," American Economic Journal: Macroeconomics, American Economic Association, vol. 6(2), pages 207-237, April.
    31. Gianluca Benigno & Julian di Giovanni & Jan J. J. Groen & Adam I. Noble, 2022. "The GSCPI: A New Barometer of Global Supply Chain Pressures," Staff Reports 1017, Federal Reserve Bank of New York.
    32. Zhang, Wen, 2022. "China’s government spending and global inflation dynamics: The role of the oil price channel," Energy Economics, Elsevier, vol. 110(C).
    33. Alexander W. Bartik & Marianne Bertrand & Zoe Cullen & Edward L. Glaeser & Michael Luca & Christopher Stanton, 2020. "The impact of COVID-19 on small business outcomes and expectations," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(30), pages 17656-17666, July.
    34. Patton, Andrew J. & Timmermann, Allan, 2010. "Why do forecasters disagree? Lessons from the term structure of cross-sectional dispersion," Journal of Monetary Economics, Elsevier, vol. 57(7), pages 803-820, October.
    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. Ha, Jongrim & Kose, M. Ayhan & Ohnsorge, Franziska & Yilmazkuday, Hakan, 2023. "Understanding the global drivers of inflation: How important are oil prices?11We would like to thank Xuguang Simon Sheng, Guest Editor, and two anonymous reviewers for their detailed feedback. We also," Energy Economics, Elsevier, vol. 127(PA).

    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. Meyer, Brent H. & Prescott, Brian C. & Sheng, Xuguang Simon, 2023. "The impact of supply chain disruptions on business expectations during the pandemic," Energy Economics, Elsevier, vol. 126(C).
    2. Kilian, Lutz & Zhou, Xiaoqing, 2022. "The impact of rising oil prices on U.S. inflation and inflation expectations in 2020–23," Energy Economics, Elsevier, vol. 113(C).
    3. Carola Binder & Tucker S. Mcelroy & Xuguang S. Sheng, 2022. "The Term Structure of Uncertainty: New Evidence from Survey Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(1), pages 39-71, February.
    4. Christina Anderl & Guglielmo Maria Caporale, 2024. "Functional Oil Price Expectations Shocks and Inflation," CESifo Working Paper Series 10998, CESifo.
    5. An, Zidong & Zheng, Xinye, 2023. "Diligent forecasters can make accurate predictions despite disagreeing with the consensus," Economic Modelling, Elsevier, vol. 125(C).
    6. Benk, Szilard & Gillman, Max, 2023. "Identifying money and inflation expectation shocks to real oil prices," Energy Economics, Elsevier, vol. 126(C).
    7. Alessandro Barbera & Dora Xia & Sonya Zhu, 2023. "The term structure of inflation forecasts disagreement and monetary policy transmission," BIS Working Papers 1114, Bank for International Settlements.
    8. Czudaj, Robert L., 2022. "Heterogeneity of beliefs and information rigidity in the crude oil market: Evidence from survey data," European Economic Review, Elsevier, vol. 143(C).
    9. Kajal Lahiri & Huaming Peng & Xuguang Simon Sheng, 2022. "Measuring Uncertainty of a Combined Forecast and Some Tests for Forecaster Heterogeneity," Advances in Econometrics, in: Essays in Honor of M. Hashem Pesaran: Prediction and Macro Modeling, volume 43, pages 29-50, Emerald Group Publishing Limited.
    10. Lutz Kilian & Xiaoqing Zhou, 2023. "Oil Price Shocks and Inflation," Working Papers 2312, Federal Reserve Bank of Dallas.
    11. Lutz Kilian & Xiaoqing Zhou, 2020. "Oil Prices, Gasoline Prices and Inflation Expectations: A New Model and New Facts," Working Papers 2025, Federal Reserve Bank of Dallas.
    12. An, Zidong & Binder, Carola & Sheng, Xuguang Simon, 2023. "Gas price expectations of Chinese households," Energy Economics, Elsevier, vol. 120(C).
    13. Paul Hubert, 2014. "FOMC Forecasts as a Focal Point for Private Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(7), pages 1381-1420, October.
    14. Laurent Ferrara & Pierre Guérin, 2018. "What are the macroeconomic effects of high‐frequency uncertainty shocks?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(5), pages 662-679, August.
    15. Wehrhöfer, Nils, 2023. "Energy prices and inflation expectations: Evidence from households and firms," Discussion Papers 28/2023, Deutsche Bundesbank.
    16. repec:zbw:bofrdp:037 is not listed on IDEAS
    17. Ha,Jongrim & Kose,Ayhan & Ohnsorge,Franziska Lieselotte, 2023. "What Explains Global Inflation," Policy Research Working Paper Series 10648, The World Bank.
    18. Beckmann, Joscha & Davidson, Sharada Nia & Koop, Gary & Schüssler, Rainer, 2023. "Cross-country uncertainty spillovers: Evidence from international survey data," Journal of International Money and Finance, Elsevier, vol. 130(C).
    19. Tomasz Łyziak & Xuguang Simon Sheng, 2023. "Disagreement in Consumer Inflation Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(8), pages 2215-2241, December.
    20. Kilian, Lutz & Zhou, Xiaoqing, 2023. "A broader perspective on the inflationary effects of energy price shocks," Energy Economics, Elsevier, vol. 125(C).
    21. Gabriel Caldas Montes & Tatiana Acar, 2018. "Fiscal credibility and disagreement in expectations about inflation: evidence for Brazil," Economics Bulletin, AccessEcon, vol. 38(2), pages 826-843.

    More about this item

    Keywords

    COVID-19 pandemic; Demand shock; Inflation expectation; Oil price shock; Sign restriction; Supply shock;
    All these keywords.

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • 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

    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:eee:eneeco:v:126:y:2023:i:c:s0140988323004486. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eneco .

    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.