IDEAS home Printed from https://ideas.repec.org/h/zbw/entr22/268310.html
   My bibliography  Save this book chapter

Asymmetric Reactions of Retail Gasoline Prices on the Changes in Crude Oil Prices in Chosen US Cities

In: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Hybrid Conference, Opatija, Croatia, 17-18 June 2022

Author

Listed:
  • Szomolányi, Karol
  • Lukáčik, Martin
  • Lukáčiková, Adriana

Abstract

Many empirical studies state that retail gasoline and diesel prices react more quickly when the crude oil price rises rather than decreases. In the paper, we confirm these asymmetric reactions of retail fuel prices in selected cities in the United States of America. We use the adjustment cost function in the linear-exponential form to derive nonlinear retail gasoline and diesel reaction functions. The correspondent model is estimated with the system's generalised method of moments. The model allows us to compute average one-gallon gasoline and diesel price biases from the increase in oil by one dollar per barrel caused by the given asymmetric reactions. The average biases differ from city to city; their values are between 0.02 cents in Los Angeles and 0.44 cents in Cleveland.

Suggested Citation

  • Szomolányi, Karol & Lukáčik, Martin & Lukáčiková, Adriana, 2022. "Asymmetric Reactions of Retail Gasoline Prices on the Changes in Crude Oil Prices in Chosen US Cities," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2022), Hybrid Conference, Opatija, Croatia, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Hybrid Conference, Opatija, Croatia, 17-18 June 2022, pages 9-15, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
    • Handle: RePEc:zbw:entr22:268310
    DOI: 10.54820/entrenova-2022-0002
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/268310/1/02-ENT-2022.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.54820/entrenova-2022-0002?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
    ---><---

    References listed on IDEAS

    as
    1. Paolo Surico, 2008. "Measuring the Time Inconsistency of US Monetary Policy," Economica, London School of Economics and Political Science, vol. 75(297), pages 22-38, February.
    2. Christopher Douglas & Ana María Herrera, 2010. "Why are gasoline prices sticky? A test of alternative models of price adjustment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(6), pages 903-928.
    3. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
    4. Bacon, Robert W., 1991. "Rockets and feathers: the asymmetric speed of adjustment of UK retail gasoline prices to cost changes," Energy Economics, Elsevier, vol. 13(3), pages 211-218, July.
    5. Liu, Ming-Hua & Margaritis, Dimitris & Tourani-Rad, Alireza, 2010. "Is there an asymmetry in the response of diesel and petrol prices to crude oil price changes? Evidence from New Zealand," Energy Economics, Elsevier, vol. 32(4), pages 926-932, July.
    6. Paolo Surico, 2007. "The Monetary Policy of the European Central Bank," Scandinavian Journal of Economics, Wiley Blackwell, vol. 109(1), pages 115-135, March.
    7. Stephen P. A. Brown & Mine K. Yücel, 2000. "Gasoline and crude oil prices: why the asymmetry?," Economic and Financial Policy Review, Federal Reserve Bank of Dallas, issue Q3, pages 23-29.
    8. Severin Borenstein & A. Colin Cameron & Richard Gilbert, 1997. "Do Gasoline Prices Respond Asymmetrically to Crude Oil Price Changes?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(1), pages 305-339.
    9. Radchenko, Stanislav, 2005. "Oil price volatility and the asymmetric response of gasoline prices to oil price increases and decreases," Energy Economics, Elsevier, vol. 27(5), pages 708-730, September.
    10. Honarvar, Afshin, 2009. "Asymmetry in retail gasoline and crude oil price movements in the United States: An application of hidden cointegration technique," Energy Economics, Elsevier, vol. 31(3), pages 395-402, May.
    11. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    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. Karol Szomolanyi & Martin Lukacik & Adriana Lukacikova, 2022. "Estimation of asymmetric responses of U.S. retail fuel prices to changes in input prices based on a linear exponential adjustment cost approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(2), pages 757-779, June.
    2. Kristoufek, Ladislav & Lunackova, Petra, 2015. "Rockets and feathers meet Joseph: Reinvestigating the oil–gasoline asymmetry on the international markets," Energy Economics, Elsevier, vol. 49(C), pages 1-8.
    3. Szomolányi, Karol & Lukáčik, Martin & Lukáčiková, Adriana, 2019. "Analysis of Asymmetry in Slovak Gasoline and Diesel Retail Market," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2019), Rovinj, Croatia, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Rovinj, Croatia, 12-14 September 2019, pages 359-366, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
    4. Valadkhani, Abbas, 2013. "Do petrol prices rise faster than they fall when the market shows significant disequilibria?," Energy Economics, Elsevier, vol. 39(C), pages 66-80.
    5. D. O. Olayungbo & T. A. Ojeyinka, 2022. "Crude oil prices pass-through to retail petroleum product prices in Nigeria: evidence from hidden cointegration approach," Economic Change and Restructuring, Springer, vol. 55(2), pages 951-972, May.
    6. Salles, Andre Assis de, 2014. "Asymmetry between Gasoline and Crude Oil Prices in the Brazilian Economy and Some Selected Developed Economies," MPRA Paper 98985, University Library of Munich, Germany, revised 2020.
    7. Bragoudakis, Zacharias & Degiannakis, Stavros & Filis, George, 2019. "Oil and pump prices: Is there any asymmetry in the Greek oil downstream sector?," MPRA Paper 95407, University Library of Munich, Germany.
    8. Bragoudakis, Zacharias & Degiannakis, Stavros & Filis, George, 2020. "Oil and pump prices: Testing their asymmetric relationship in a robust way," Energy Economics, Elsevier, vol. 88(C).
    9. Jonathan E. Ogbuabor & Anthony Orji & Gladys C. Aneke & Manasseh O. Charles, 2019. "Did the global financial crisis alter the oil–gasoline price relationship?," Empirical Economics, Springer, vol. 57(4), pages 1171-1200, October.
    10. Pradeep, Siddhartha, 2022. "Impact of diesel price reforms on asymmetricity of oil price pass-through to inflation: Indian perspective," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
    11. Andre Assis de Salles, 2014. "Some Evidence on the Asymmetry between Gasoline and Crude Oil Prices in Selected Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 4(4), pages 670-678.
    12. Chua, Chew Lian & De Silva, Chamaka & Suardi, Sandy, 2017. "Do petrol prices increase faster than they fall in market disequilibria?," Energy Economics, Elsevier, vol. 61(C), pages 135-146.
    13. Apergis, Nicholas & Vouzavalis, Grigorios, 2018. "Asymmetric pass through of oil prices to gasoline prices: Evidence from a new country sample," Energy Policy, Elsevier, vol. 114(C), pages 519-528.
    14. 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.
    15. Bremmer, Dale S. & Kesselring, Randall G., 2016. "The relationship between U.S. retail gasoline and crude oil prices during the Great Recession: “Rockets and feathers” or “balloons and rocks” behavior?," Energy Economics, Elsevier, vol. 55(C), pages 200-210.
    16. da Silva, André Suriane & Vasconcelos, Cláudio Roberto Fóffano & Vasconcelos, Silvinha Pinto & de Mattos, Rogério Silva, 2014. "Symmetric transmission of prices in the retail gasoline market in Brazil," Energy Economics, Elsevier, vol. 43(C), pages 11-21.
    17. Kyungsoo Cha & Chul-Yong Lee, 2023. "Rockets and Feathers in the Gasoline Market: Evidence from South Korea," Sustainability, MDPI, vol. 15(4), pages 1-15, February.
    18. Michael Polemis, 2012. "Competition and price asymmetries in the Greek oil sector: an empirical analysis on gasoline market," Empirical Economics, Springer, vol. 43(2), pages 789-817, October.
    19. Deltas, George & Polemis, Michael, 2020. "Estimating retail gasoline price dynamics: The effects of sample characteristics and research design," Energy Economics, Elsevier, vol. 92(C).
    20. Amountzias, Chrysovalantis, 2023. "Do petrol prices rise faster than they fall? Evidence from the UK retail and wholesale petrol sectors," The Journal of Economic Asymmetries, Elsevier, vol. 28(C).

    More about this item

    Keywords

    asymmetry; retail gasoline and diesel prices; linex adjustment cost function; generalised system method of moments;
    All these keywords.

    JEL classification:

    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

    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:zbw:entr22:268310. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://www.entrenova.org/ .

    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.