IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v152y2025ics014098832500787x.html

The time-varying effects of oil news on inflation

Author

Listed:
  • Herrera, Ana María
  • Rangaraju, Sandeep Kumar

Abstract

We investigate whether the effect of exogenous variations in oil prices on inflation has changed over time. We employ a Bayesian time-varying parameter vector autoregressive (TVP-VAR) model that identifies oil price shocks via a proxy variable. We first estimate a TVP version of Känzig (2021)’s VAR model where the proxy is constructed by summing surprise changes in daily oil futures prices around OPEC announcements. We find evidence that the dynamic response of oil production is non-negative for all points in the sample and the contemporaneous response of global economic activity is positive for some periods, casting doubt on the narrative that oil news captures expectations of future reductions in oil supply. We then compare the results with a Kilian (2024)-type TVP-VAR, which exhibits a higher reliability statistic and impulse response functions that indicate that OPEC news captures oil demand news. While this model captures a modest degree of time-variation in the inflation responses, especially in expansionary periods, its credible regions also accommodate time invariant responses.

Suggested Citation

  • Herrera, Ana María & Rangaraju, Sandeep Kumar, 2025. "The time-varying effects of oil news on inflation," Energy Economics, Elsevier, vol. 152(C).
  • Handle: RePEc:eee:eneeco:v:152:y:2025:i:c:s014098832500787x
    DOI: 10.1016/j.eneco.2025.108960
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S014098832500787X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2025.108960?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Kilian, Lutz, 2019. "Measuring global real economic activity: Do recent critiques hold up to scrutiny?," Economics Letters, Elsevier, vol. 178(C), pages 106-110.
    2. Yoosoon Chang & Ana María Herrera & Elena Pesavento, 2023. "Oil prices uncertainty, endogenous regime switching, and inflation anchoring," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 820-839, September.
    3. Christiane Baumeister & Gert Peersman, 2013. "Time-Varying Effects of Oil Supply Shocks on the US Economy," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(4), pages 1-28, October.
    4. John Geweke, 2004. "Getting It Right: Joint Distribution Tests of Posterior Simulators," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 799-804, January.
    5. Inoue, Atsushi & Kilian, Lutz, 2022. "Joint Bayesian inference about impulse responses in VAR models," Journal of Econometrics, Elsevier, vol. 231(2), pages 457-476.
    6. Martin Bruns & Helmut Luetkepohl, 2023. "Have the Effects of Shocks to Oil Price Expectations Changed? Evidence from Heteroskedastic Proxy Vector Autoregressions," University of East Anglia School of Economics Working Paper Series 2023-03, School of Economics, University of East Anglia, Norwich, UK..
    7. 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.
    8. Lutz Kilian & Xiaoqing Zhou, 2023. "The Econometrics of Oil Market VAR Models," Advances in Econometrics, in: Essays in Honor of Joon Y. Park: Econometric Methodology in Empirical Applications, volume 45, pages 65-95, Emerald Group Publishing Limited.
    9. 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).
    10. Kilian, Lutz & Zhou, Xiaoqing, 2023. "A broader perspective on the inflationary effects of energy price shocks," Energy Economics, Elsevier, vol. 125(C).
    11. Vatsa, Puneet & Pino, Gabriel, 2024. "Do petrol prices affect inflation and inflation expectations? Evidence from New Zealand," Energy Economics, Elsevier, vol. 139(C).
    12. Xiaoqing Zhou, 2020. "Refining the workhorse oil market model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(1), pages 130-140, January.
    13. Valerie A. Ramey & Daniel J. Vine, 2011. "Oil, Automobiles, and the US Economy: How Much Have Things Really Changed?," NBER Chapters, in: NBER Macroeconomics Annual 2010, volume 25, pages 333-367, National Bureau of Economic Research, Inc.
    14. Karel Mertens & Morten O. Ravn, 2013. "The Dynamic Effects of Personal and Corporate Income Tax Changes in the United States," American Economic Review, American Economic Association, vol. 103(4), pages 1212-1247, June.
    15. 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).
    16. Marco Del Negro & Giorgio E. Primiceri, 2015. "Time Varying Structural Vector Autoregressions and Monetary Policy: A Corrigendum," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(4), pages 1342-1345.
    17. Zeina Alsalman, 2021. "Does the source of oil supply shock matter in explaining the behavior of U.S. consumer spending and sentiment?," Empirical Economics, Springer, vol. 61(3), pages 1491-1518, September.
    18. Haroon Mumtaz & Katerina Petrova, 2023. "Changing Impact of Shocks: A Time‐Varying Proxy SVAR Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(2-3), pages 635-654, March.
    19. Lutz Kilian & Daniel P. Murphy, 2014. "The Role Of Inventories And Speculative Trading In The Global Market For Crude Oil," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(3), pages 454-478, April.
    20. Olivier Blanchard & Jordi Galí, 2010. "Labor Markets and Monetary Policy: A New Keynesian Model with Unemployment," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(2), pages 1-30, April.
    21. Lutz Kilian, 2009. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," American Economic Review, American Economic Association, vol. 99(3), pages 1053-1069, June.
    22. Diego R. Känzig, 2021. "The Macroeconomic Effects of Oil Supply News: Evidence from OPEC Announcements," American Economic Review, American Economic Association, vol. 111(4), pages 1092-1125, April.
    23. Dario Caldara & Edward Herbst, 2019. "Monetary Policy, Real Activity, and Credit Spreads: Evidence from Bayesian Proxy SVARs," American Economic Journal: Macroeconomics, American Economic Association, vol. 11(1), pages 157-192, January.
    24. Andrea De Michelis & Grace Lofstrom & Mike McHenry & Musa Orak & Albert Queraltó & Mikaël Scaramucci, 2024. "Has the Inflation Process Become More Persistent? Evidence from the Major Advanced Economies," FEDS Notes 2024-07-19-3, Board of Governors of the Federal Reserve System (U.S.).
    25. Herrera, Ana María & Pesavento, Elena, 2009. "Oil Price Shocks, Systematic Monetary Policy, And The “Great Moderation”," Macroeconomic Dynamics, Cambridge University Press, vol. 13(1), pages 107-137, February.
    Full references (including those not matched with items on IDEAS)

    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. 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).
    2. Kilian, Lutz, 2023. "How to Construct Monthly VAR Proxies Based on Daily Futures Market Surprises," CEPR Discussion Papers 18348, Centre for Economic Policy Research.
    3. Qureshi, Irfan A. & Ahmad, Ghufran, 2025. "Oil price shocks and US business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 177(C).
    4. Zeina Alsalman, 2023. "Oil price shocks and US unemployment: evidence from disentangling the duration of unemployment spells in the labor market," Empirical Economics, Springer, vol. 65(1), pages 479-511, July.
    5. Benk, Szilard & Gillman, Max, 2023. "Identifying money and inflation expectation shocks to real oil prices," Energy Economics, Elsevier, vol. 126(C).
    6. Gründler, Daniel & Scharler, Johann, 2025. "Does uncertainty amplify the inflation pass-through of gasoline price shocks?," Energy Economics, Elsevier, vol. 144(C).
    7. Blaise Gnimassoun & Marc Joëts & Tovonony Razafindrabe, 2016. "On the link between current account and oil price fluctuations in diversified economies: The case of Canada," Working Papers hal-04141574, HAL.
    8. Jiménez-Rodríguez, Rebeca, 2022. "Oil shocks and global economy," Energy Economics, Elsevier, vol. 115(C).
    9. Lutz Kilian & Xiaoqing Zhou, 2023. "The Econometrics of Oil Market VAR Models," Advances in Econometrics, in: Essays in Honor of Joon Y. Park: Econometric Methodology in Empirical Applications, volume 45, pages 65-95, Emerald Group Publishing Limited.
    10. Daniele Colombo & Francesco Toni, 2025. "Understanding Gas Price Shocks: Elasticities, Volatility and Macroeconomic Transmission," GREDEG Working Papers 2025-20, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    11. Alsalman, Zeina & Herrera, Ana María & Rangaraju, Sandeep Kumar, 2023. "Oil news shocks and the U.S. stock market," Energy Economics, Elsevier, vol. 126(C).
    12. Gnimassoun, Blaise & Joëts, Marc & Razafindrabe, Tovonony, 2017. "On the link between current account and oil price fluctuations in diversified economies: The case of Canada," International Economics, Elsevier, vol. 152(C), pages 63-78.
    13. Azhgaliyeva, Dina & Kapsalyamova, Zhanna & Mishra, Ranjeeta, 2022. "Oil price shocks and green bonds: An empirical evidence," Energy Economics, Elsevier, vol. 112(C).
    14. repec:rim:rimwps:22-13 is not listed on IDEAS
    15. Harrison, Andre & Liu, Xiaochun & Stewart, Shamar L., 2024. "Are exchange rates absorbers of global oil shocks? A generalized structural analysis," Journal of International Money and Finance, Elsevier, vol. 146(C).
    16. Morão, Hugo, 2025. "Fuel price surges and rising inflation expectations in the Euro Area," International Economics, Elsevier, vol. 181(C).
    17. Szafranek, Karol & Szafrański, Grzegorz & Leszczyńska-Paczesna, Agnieszka, 2024. "Inflation returns. Revisiting the role of external and domestic shocks with Bayesian structural VAR," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 789-810.
    18. Vatsa, Puneet & Pino, Gabriel & Clements, Adam, 2025. "Gasoline prices, gasoline price expectations, and inflation expectations in the United States," Energy Economics, Elsevier, vol. 146(C).
    19. Daniele Colombo & Francesco Toni, 2025. "Understanding Gas Price Shocks: Elasticities, Volatilities, and Macroeconomic Transmission," LEM Papers Series 2025/20, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    20. Bampinas, Georgios & Panagiotidis, Theodore & Papapanagiotou, Georgios, 2023. "Oil shocks and investor attention," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 68-81.
    21. Wei, Yanfeng & Qiu, Feng & An, Henry & Zhang, Xindon & Li, Changhong & Guo, Xiaoying, 2024. "Exogenous oil supply shocks and global agricultural commodity prices: The role of biofuels," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 394-414.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • 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
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

    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:152:y:2025:i:c:s014098832500787x. 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.