IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/87569.html
   My bibliography  Save this paper

Is the oil price pass-through to domestic inflation symmetric or asymmetric? new evidence from India based on NARDL

Author

Listed:
  • Abu-Bakar, Muhammad
  • Masih, Mansur

Abstract

With 80% oil dependence, which is expected to further increase in coming years due to rapid expansion, and the reforms initiated to deregulate domestic oil market, the association between global oil prices and inflation in India has increased. Using the autoregressive distribution lag (ARDL) and the nonlinear and asymmetric autoregressive distribution lag (NARDL) framework, we investigate the association between global oil prices and inflation. The ARDL results indicate no association between the two, whereas NARDL findings not only point to long term association but also indicates asymmetric pass-through. Precisely, domestic prices increase with the increase in global oil prices but the decrease in global oil prices has no significant association with the domestic prices. These results are robust to the inclusion of additional variables, different proxy of oil prices (WTI crude) and different time period (January 2003 to January 2018). The contrasting results obtained from the ARDL and the NARDL modelling highlight the importance of using non-linear framework, especially in high oil dependence country with non-competitive market structure. The results have implications for welfare assessment and the effectiveness of monetary policy.

Suggested Citation

  • Abu-Bakar, Muhammad & Masih, Mansur, 2018. "Is the oil price pass-through to domestic inflation symmetric or asymmetric? new evidence from India based on NARDL," MPRA Paper 87569, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:87569
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/87569/1/MPRA_paper_87569.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cross, Jamie & Nguyen, Bao H., 2017. "The relationship between global oil price shocks and China's output: A time-varying analysis," Energy Economics, Elsevier, vol. 62(C), pages 79-91.
    2. Jochen Meyer & Stephan von Cramon‐Taubadel, 2004. "Asymmetric Price Transmission: A Survey," Journal of Agricultural Economics, Wiley Blackwell, vol. 55(3), pages 581-611, November.
    3. Mork, Knut Anton, 1989. "Oil and Macroeconomy When Prices Go Up and Down: An Extension of Hamilton's Results," Journal of Political Economy, University of Chicago Press, vol. 97(3), pages 740-744, June.
    4. Evgenidis, Anastasios, 2018. "Do all oil price shocks have the same impact? Evidence from the euro area," Finance Research Letters, Elsevier, vol. 26(C), pages 150-155.
    5. Robin C. Sickles & William C. Horrace (ed.), 2014. "Festschrift in Honor of Peter Schmidt," Springer Books, Springer, edition 127, number 978-1-4899-8008-3, December.
    6. Du, Limin & He, Yanan, 2015. "Extreme risk spillovers between crude oil and stock markets," Energy Economics, Elsevier, vol. 51(C), pages 455-465.
    7. Kang, Wensheng & Ratti, Ronald A., 2013. "Structural oil price shocks and policy uncertainty," Economic Modelling, Elsevier, vol. 35(C), pages 314-319.
    8. Jose de Gregorio & Oscar Landerretche & Christopher Neilson, 2007. "Another Pass-Through Bites the Dust? Oil Prices and Inflation," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Spring 20), pages 155-208, January.
    9. Zhang, Chuanguo & Tu, Xiaohua, 2016. "The effect of global oil price shocks on China's metal markets," Energy Policy, Elsevier, vol. 90(C), pages 131-139.
    10. Álvarez, Luis J. & Hurtado, Samuel & Sánchez, Isabel & Thomas, Carlos, 2011. "The impact of oil price changes on Spanish and euro area consumer price inflation," Economic Modelling, Elsevier, vol. 28(1-2), pages 422-431, January.
    11. Narayan, Paresh Kumar & Sharma, Susan Sunila, 2014. "Firm return volatility and economic gains: The role of oil prices," Economic Modelling, Elsevier, vol. 38(C), pages 142-151.
    12. Cunado, Juncal & Perez de Gracia, Fernando, 2003. "Do oil price shocks matter? Evidence for some European countries," Energy Economics, Elsevier, vol. 25(2), pages 137-154, March.
    13. Hamilton, James D., 1996. "This is what happened to the oil price-macroeconomy relationship," Journal of Monetary Economics, Elsevier, vol. 38(2), pages 215-220, October.
    14. Zhao, Lin & Zhang, Xun & Wang, Shouyang & Xu, Shanying, 2016. "The effects of oil price shocks on output and inflation in China," Energy Economics, Elsevier, vol. 53(C), pages 101-110.
    15. Lutz Kilian, 2008. "A Comparison of the Effects of Exogenous Oil Supply Shocks on Output and Inflation in the G7 Countries," Journal of the European Economic Association, MIT Press, vol. 6(1), pages 78-121, March.
    16. Narayan, Paresh Kumar & Sharma, Susan Sunila, 2011. "New evidence on oil price and firm returns," Journal of Banking & Finance, Elsevier, vol. 35(12), pages 3253-3262.
    17. Du, Limin & Yanan, He & Wei, Chu, 2010. "The relationship between oil price shocks and China's macro-economy: An empirical analysis," Energy Policy, Elsevier, vol. 38(8), pages 4142-4151, August.
    18. Hamilton, James D, 1983. "Oil and the Macroeconomy since World War II," Journal of Political Economy, University of Chicago Press, vol. 91(2), pages 228-248, April.
    19. Karantininis, Kostas & Katrakylidis, Kostas & Persson, Morten, 2011. "Price Transmission in the Swedish Pork Chain: Asymmetric non linear ARDL," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114772, European Association of Agricultural Economists.
    20. Hamilton, James D & Herrera, Ana Maria, 2004. "Oil Shocks and Aggregate Macroeconomic Behavior: The Role of Monetary Policy: Comment," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 36(2), pages 265-286, April.
    21. Wei, Yanfeng & Guo, Xiaoying, 2016. "An empirical analysis of the relationship between oil prices and the Chinese macro-economy," Energy Economics, Elsevier, vol. 56(C), pages 88-100.
    22. Olivier Jean Blanchard & Stanley Fischer (ed.), 1990. "NBER Macroeconomics Annual 1990," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262521555, April.
    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. Pessey, Snowdein, 2023. "Effects of Petroleum Deregulation and Petroleum Taxation Policies On Inflation In Ghana," MPRA Paper 120313, University Library of Munich, Germany.
    2. Omoke Philip Chimobi & Uche Emmanuel, 2020. "Asymmetric impact of oil price shocks on selected macroeconomic variables: NARDL exposition," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 0(1), pages 171-189.
    3. Christina Anderl & Guglielmo Maria Caporale, 2023. "The Asymmetric Impact of Economic Policy and Oil Price Uncertainty on Inflation: Evidence from Developed and Emerging Economies," CESifo Working Paper Series 10276, CESifo.
    4. Tersoo Shimonkabir Shitile & Nuruddeen Usman, 2020. "Disaggregated Inflation and Asymmetric Oil Price Pass-Through in Nigeria," International Journal of Energy Economics and Policy, Econjournals, vol. 10(1), pages 255-264.
    5. Grzegorz Przekota, 2022. "Do High Fuel Prices Pose an Obstacle to Economic Growth? A Study for Poland," Energies, MDPI, vol. 15(18), pages 1-15, September.

    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. Lee, Chi-Chuan & Lee, Chien-Chiang, 2019. "Oil price shocks and Chinese banking performance: Do country risks matter?," Energy Economics, Elsevier, vol. 77(C), pages 46-53.
    2. Tiwari, Aviral Kumar & Cunado, Juncal & Hatemi-J, Abdulnasser & Gupta, Rangan, 2019. "Oil price-inflation pass-through in the United States over 1871 to 2018: A wavelet coherency analysis," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 51-55.
    3. Zafar Ahmad Sultan & Tarek Tawfek Yousef Alkhateeb & Mahmoud Mohamed Fawaz, 2020. "Empirical Investigation of Relationship between Oil Price and Inflation: The case of India," International Journal of Energy Economics and Policy, Econjournals, vol. 10(3), pages 90-94.
    4. Jungho Baek & Guimin Lu & Soojoong Nam, 2021. "On the asymmetric effects of changes in crude oil prices on economic growth: New evidence from China's 31 provinces," Australian Economic Papers, Wiley Blackwell, vol. 60(2), pages 328-360, June.
    5. Jin‐Yu Chen & Xue‐Hong Zhu & Mei‐Rui Zhong, 2021. "Time‐varying effects and structural change of oil price shocks on industrial output: Evidence from China's oil industrial chain," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3460-3472, July.
    6. Brueckner, Marcus & Hong, Haidi & Vespignani, Joaquin, 2023. "Regulation of petrol and diesel prices and their effects on GDP growth: evidence from China," Working Papers 2023-02, University of Tasmania, Tasmanian School of Business and Economics.
    7. Sheng, Xin & Marfatia, Hardik A. & Gupta, Rangan & Ji, Qiang, 2023. "The non-linear response of US state-level tradable and non-tradable inflation to oil shocks: The role of oil-dependence," Research in International Business and Finance, Elsevier, vol. 64(C).
    8. Sun, Qingru & An, Haizhong & Gao, Xiangyun & Guo, Sui & Wang, Ze & Liu, Siyao & Wen, Shaobo, 2019. "Effects of crude oil shocks on the PPI system based on variance decomposition network analysis," Energy, Elsevier, vol. 189(C).
    9. Elsayed, Ahmed H. & Hammoudeh, Shawkat & Sousa, Ricardo M., 2021. "Inflation synchronization among the G7and China: The important role of oil inflation," Energy Economics, Elsevier, vol. 100(C).
    10. Gómez-Loscos, Ana & Montañés, Antonio & Gadea, M. Dolores, 2011. "The impact of oil shocks on the Spanish economy," Energy Economics, Elsevier, vol. 33(6), pages 1070-1081.
    11. Sarwar, Muhammad Nadeem & Hussain, Hamid & Maqbool, Muhammad Bilal, 2020. "Pass through effects of oil price on food and non-food prices in Pakistan: A nonlinear ARDL approach," Resources Policy, Elsevier, vol. 69(C).
    12. Garzon, Antonio J. & Hierro, Luis A., 2021. "Asymmetries in the transmission of oil price shocks to inflation in the eurozone," Economic Modelling, Elsevier, vol. 105(C).
    13. Köse, Nezir & Ünal, Emre, 2021. "The effects of the oil price and oil price volatility on inflation in Turkey," Energy, Elsevier, vol. 226(C).
    14. Rajesh H. Acharya & Anver C. Sadath, 2018. "Revisiting the relationship between oil price and macro economy: Evidence from India," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2018(1), pages 173-190.
    15. Zhang, Qi & Hu, Yi & Jiao, Jianbin & Wang, Shouyang, 2023. "Is refined oil price regulation a “shock absorber” for crude oil price shocks?," Energy Policy, Elsevier, vol. 173(C).
    16. Archanskaïa, Elizaveta & Creel, Jérôme & Hubert, Paul, 2012. "The nature of oil shocks and the global economy," Energy Policy, Elsevier, vol. 42(C), pages 509-520.
    17. Chou, Kuo-Wei & Tseng, Yi-Heng, 2016. "Oil prices, exchange rate, and the price asymmetry in the Taiwanese retail gasoline market," Economic Modelling, Elsevier, vol. 52(PB), pages 733-741.
    18. Park, Jungwook & Ratti, Ronald A., 2008. "Oil price shocks and stock markets in the U.S. and 13 European countries," Energy Economics, Elsevier, vol. 30(5), pages 2587-2608, September.
    19. Wei, Yanfeng, 2019. "Oil price shocks, economic policy uncertainty and China’s trade: A quantitative structural analysis," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 20-31.
    20. Heidari, Hassan & Ebrahimi Torki, Mahyar & Babaei Balderlou, Saharnaz, 2015. "How Do Different Oil Price Shocks Affect the Relationship Between Oil and Stock Markets?," MPRA Paper 80273, University Library of Munich, Germany, revised 24 Dec 2016.

    More about this item

    Keywords

    Oil Price; Inflation; asymmetry; India; non-linear ARDL;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • 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:87569. 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.