IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/124208.html

Gasoline price pass-through into CPI inflation: Evidence from Structure VAR

Author

Listed:
  • Zhai, Weiyang

Abstract

We apply a Bayesian structural vector autoregression (VAR) model to estimate the impact of oil and exchange rate shocks on Japan’s gasoline prices and, furthermore, Japan’s gasoline price pass-through into CPI inflation. In addition to the traditional zero and sign restrictions, we adopt a Bayesian framework, which provides a broader set of credible regions. After evaluating the influence of oil supply shocks, economic activity shocks, oil-specific demand shocks, and exchange rate shocks, we found evidence that an increase in gasoline prices is associated with a positive economic activity shock and oil-specific demand shock. On the other hand, the impact of any of the above shocks was not observed on the Japanese consumer price index from the estimated results.

Suggested Citation

  • Zhai, Weiyang, 2025. "Gasoline price pass-through into CPI inflation: Evidence from Structure VAR," MPRA Paper 124208, University Library of Munich, Germany, revised 01 Apr 2025.
  • Handle: RePEc:pra:mprapa:124208
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/124208/1/MPRA_paper_124208.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Kristin Forbes & Ida Hjortsoe & Tsvetelina Nenova, 2020. "International Evidence on Shock-Dependent Exchange Rate Pass-Through," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 68(4), pages 721-763, December.
    2. Forbes, Kristin & Hjortsoe, Ida & Nenova, Tsvetelina, 2018. "The shocks matter: Improving our estimates of exchange rate pass-through," Journal of International Economics, Elsevier, vol. 114(C), pages 255-275.
    3. Raffaella Giacomini & Toru Kitagawa & Matthew Read, 2022. "Narrative Restrictions and Proxies," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(4), pages 1415-1425, October.
    4. Farhad Taghizadeh-Hesary & Ehsan Rasoulinezhad & Yoshikazu Kobayashi, 2016. "Oil price fluctuations and oil consuming sectors: An empirical analysis of Japan," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2016(2), pages 33-51.
    5. Juan F. Rubio-Ramírez & Daniel F. Waggoner & Tao Zha, 2010. "Structural Vector Autoregressions: Theory of Identification and Algorithms for Inference," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(2), pages 665-696.
    6. Iwaisako, Tokuo & Nakata, Hayato, 2015. "Large Oil Price, Exchange Rate Shock, and the Japanese Economy," Economic Review, Hitotsubashi University, vol. 66(4), pages 355-376, October.
    7. Raffaella Giacomini & Toru Kitagawa & Matthew Read, 2021. "Identification and Inference Under Narrative Restrictions," Papers 2102.06456, arXiv.org.
    8. Patricia Renou-Maissant, 2019. "Is Oil Price Still Driving Inflation?," The Energy Journal, , vol. 40(6), pages 199-220, November.
    9. Raffaella Giacomini & Toru Kitagawa & Matthew Read, 2022. "Narrative Restrictions and Proxies: Rejoinder," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(4), pages 1438-1441, October.
    10. Raffaella Giacomini & Toru Kitagawa, 2021. "Robust Bayesian Inference for Set‐Identified Models," Econometrica, Econometric Society, vol. 89(4), pages 1519-1556, July.
    11. Rebeca Jiménez-Rodríguez & Marcelo Sánchez, 2012. "Oil price shocks and Japanese macroeconomic developments," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 26(1), pages 69-83, May.
    12. Atsushi Inoue & Lutz Kilian, 2020. "The Role of the Prior in Estimating VAR Models with Sign Restrictions," Working Papers 2030, Federal Reserve Bank of Dallas.
    13. Patricia Renou-Maissant, 2019. "Is oil price still driving inflation?," Post-Print hal-02295983, HAL.
    14. Baumeister, Christiane & Hamilton, James D., 2020. "Drawing conclusions from structural vector autoregressions identified on the basis of sign restrictions," Journal of International Money and Finance, Elsevier, vol. 109(C).
    15. Olivier Coibion & Yuriy Gorodnichenko, 2015. "Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts," American Economic Review, American Economic Association, vol. 105(8), pages 2644-2678, August.
    16. Sasaki, Yuri & Yoshida, Yushi & Otsubo, Piotr Kansho, 2022. "Exchange rate pass-through to Japanese prices: Import prices, producer prices, and the core CPI," Journal of International Money and Finance, Elsevier, vol. 123(C).
    17. Jonas E. Arias & Juan F. Rubio‐Ramírez & Daniel F. Waggoner, 2018. "Inference Based on Structural Vector Autoregressions Identified With Sign and Zero Restrictions: Theory and Applications," Econometrica, Econometric Society, vol. 86(2), pages 685-720, March.
    18. Cologni, Alessandro & Manera, Matteo, 2008. "Oil prices, inflation and interest rates in a structural cointegrated VAR model for the G-7 countries," Energy Economics, Elsevier, vol. 30(3), pages 856-888, May.
    19. Yilmazkuday, Hakan, 2021. "Oil price pass-through into consumer prices: Evidence from U.S. weekly data," Journal of International Money and Finance, Elsevier, vol. 119(C).
    20. Juan Antolín-Díaz & Juan F. Rubio-Ramírez, 2018. "Narrative Sign Restrictions for SVARs," American Economic Review, American Economic Association, vol. 108(10), pages 2802-2829, October.
    21. repec:aen:journl:ej40-6-renou-maissant is not listed on IDEAS
    22. 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.
    23. Nguyen, Thi-Ngoc Anh & Sato, Kiyotaka, 2019. "Firm predicted exchange rates and nonlinearities in pricing-to-market," Journal of the Japanese and International Economies, Elsevier, vol. 53(C), pages 1-1.
    24. Christiane Baumeister & James D. Hamilton, 2015. "Sign Restrictions, Structural Vector Autoregressions, and Useful Prior Information," Econometrica, Econometric Society, vol. 83(5), pages 1963-1999, September.
    25. Shioji, Etsuro, 2021. "Pass-through of oil supply shocks to domestic gasoline prices: evidence from daily data," Energy Economics, Elsevier, vol. 98(C).
    26. Kilian, Lutz & Zhou, Xiaoqing, 2022. "Oil prices, exchange rates and interest rates," Journal of International Money and Finance, Elsevier, vol. 126(C).
    27. Kilian, Lutz & Rebucci, Alessandro & Spatafora, Nikola, 2009. "Oil shocks and external balances," Journal of International Economics, Elsevier, vol. 77(2), pages 181-194, April.
    28. Ichiro Fukunaga & Naohisa Hirakata & Nao Sudo, 2011. "The Effects of Oil Price Changes on the Industry-Level Production and Prices in the United States and Japan," NBER Chapters, in: Commodity Prices and Markets, pages 195-231, National Bureau of Economic Research, Inc.
    29. Lutz Kilian, 2008. "The Economic Effects of Energy Price Shocks," Journal of Economic Literature, American Economic Association, vol. 46(4), pages 871-909, December.
    30. Antonio J., Garzón & Luis A., Hierro, 2022. "Inflation, oil prices and exchange rates. The Euro’s dampening effect," Journal of Policy Modeling, Elsevier, vol. 44(1), pages 130-146.
    31. Sun, Yuying & Zhang, Xun & Hong, Yongmiao & Wang, Shouyang, 2019. "Asymmetric pass-through of oil prices to gasoline prices with interval time series modelling," Energy Economics, Elsevier, vol. 78(C), pages 165-173.
    32. Aharon, David Y. & Azman Aziz, Mukhriz Izraf & Kallir, Ido, 2023. "Oil price shocks and inflation: A cross-national examination in the ASEAN5+3 countries," Resources Policy, Elsevier, vol. 82(C).
    33. Yasunori Yoshizaki & Shigeyuki Haomori, 2014. "The effects of oil price shocks on expenditure category CPI," Applied Economics, Taylor & Francis Journals, vol. 46(14), pages 1652-1664, May.
    34. Yoshida, Yushi & Zhai, Weiyang, 2025. "Can exchange rate pass-throughs be perverse? A robust multiple-prior Bayesian SVAR approach," Journal of International Money and Finance, Elsevier, vol. 154(C).
    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. Yoshida, Yushi & Zhai, Weiyang, 2025. "Can exchange rate pass-throughs be perverse? A robust multiple-prior Bayesian SVAR approach," Journal of International Money and Finance, Elsevier, vol. 154(C).
    2. Kilian, Lutz, 2022. "Facts and fiction in oil market modeling," Energy Economics, Elsevier, vol. 110(C).
    3. Patel, Nikhil & Peralta-Alva, Adrian, 2025. "High public debts: Are shocks or discretionary fiscal policy to blame?," Journal of International Economics, Elsevier, vol. 158(C).
    4. Inoue, Atsushi & Kilian, Lutz, 2022. "Joint Bayesian inference about impulse responses in VAR models," Journal of Econometrics, Elsevier, vol. 231(2), pages 457-476.
    5. Kilian, Lutz & Inoue, Atsushi, 2020. "The Role of the Prior in Estimating VAR Models with Sign Restrictions," CEPR Discussion Papers 15545, C.E.P.R. Discussion Papers.
    6. 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.
    7. Hyeon-seung Huh & David Kim, 2025. "An empirical assessment of the influence of informative rotation prior in the sign-identified SVAR model," Working papers 2025rwp-246, Yonsei University, Yonsei Economics Research Institute.
    8. Mathias Krogh & Giovanni Pellegrino, "undated". "Real Activity and Uncertainty Shocks: The Long and the Short of It," "Marco Fanno" Working Papers 0310, Dipartimento di Scienze Economiche "Marco Fanno".
    9. Raffaella Giacomini & Toru Kitagawa & Matthew Read, 2021. "Identification and Inference Under Narrative Restrictions," Papers 2102.06456, arXiv.org.
    10. Herwartz, Helmut & Wang, Shu, 2023. "Point estimation in sign-restricted SVARs based on independence criteria with an application to rational bubbles," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).
    11. Yushi YOSHIDA & Weiyang ZHAI & Yuri SASAKI & Siyu ZHANG, 2022. "Exchange Rate Pass-through Under the Unconventional Monetary Policy Regime," Discussion papers 22020, Research Institute of Economy, Trade and Industry (RIETI).
    12. Diegel, Max & Nautz, Dieter, 2021. "Long-term inflation expectations and the transmission of monetary policy shocks: Evidence from a SVAR analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 130(C).
    13. Martin Stuermer, 2022. "Non-renewable resource extraction over the long term: empirical evidence from global copper production," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 35(3), pages 617-625, December.
    14. Geiger, Martin & Güntner, Jochen, 2024. "The chronology of Brexit and UK monetary policy," Journal of Monetary Economics, Elsevier, vol. 142(C).
    15. Ferreira, Leonardo N., 2022. "Forward guidance matters: Disentangling monetary policy shocks," Journal of Macroeconomics, Elsevier, vol. 73(C).
    16. Morão, Hugo, 2025. "Fuel price surges and rising inflation expectations in the Euro Area," International Economics, Elsevier, vol. 181(C).
    17. Matthew Read, 2022. "Algorithms for inference in SVARs identified with sign and zero restrictions [Identification and inference with ranking restrictions]," The Econometrics Journal, Royal Economic Society, vol. 25(3), pages 699-718.
    18. Carrillo-Maldonado, Paul & Díaz-Cassou, Javier, 2023. "An anatomy of external shocks in the Andean region," The Journal of Economic Asymmetries, Elsevier, vol. 27(C).
    19. An, Lian & Wynne, Mark A. & Zhang, Ren, 2021. "Shock-dependent exchange rate pass-through: Evidence based on a narrative sign approach for Japan," Journal of International Money and Finance, Elsevier, vol. 118(C).
    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

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • 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:pra:mprapa:124208. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.