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Testing for short and long-run asymmetric responses and structural breaks in the retail gasoline supply chain

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  • Bumpass, Donald
  • Douglas, Christopher
  • Ginn, Vance
  • Tuttle, M.H.

Abstract

This research examines the short-run and long-run relationship between the retail gasoline price, the spot gasoline price, and the price of West Texas Intermediate (WTI) crude oil along the gasoline supply chain. We find mixed evidence of short-run asymmetry in all stages of the retail gasoline supply chain. We fail to reject long-run symmetry at each stage of the retail gasoline supply chain. Additionally, we find a significant structural break in the crude oil-spot gasoline relationship after October 17, 2005. There is weak evidence of long-run oil price endogeneity after October 17, 2005. This structural change reverses the direction of short-run asymmetry between these two time series after the break. We find no significant structural break in the spot gasoline-retail gasoline relationship.

Suggested Citation

  • Bumpass, Donald & Douglas, Christopher & Ginn, Vance & Tuttle, M.H., 2019. "Testing for short and long-run asymmetric responses and structural breaks in the retail gasoline supply chain," Energy Economics, Elsevier, vol. 83(C), pages 311-318.
    • Handle: RePEc:eee:eneeco:v:83:y:2019:i:c:p:311-318
    DOI: 10.1016/j.eneco.2019.07.021
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    as
    1. Bastianin, Andrea & Galeotti, Marzio & Manera, Matteo, 2014. "Forecasting the oil–gasoline price relationship: Do asymmetries help?," Energy Economics, Elsevier, vol. 46(S1), pages 44-56.
    2. Rossi, Barbara, 2005. "Optimal Tests For Nested Model Selection With Underlying Parameter Instability," Econometric Theory, Cambridge University Press, vol. 21(5), pages 962-990, October.
    3. Lutz Kilian, 2010. "Explaining Fluctuations in Gasoline Prices: A Joint Model of the Global Crude Oil Market and the U.S. Retail Gasoline Market," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 87-112.
    4. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    5. P. C. B. Phillips & S. N. Durlauf, 1986. "Multiple Time Series Regression with Integrated Processes," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 53(4), pages 473-495.
    6. Stephen P. A. Brown & Jackson Thies, 2009. "What drives diesel fuel prices?," Economic Letter, Federal Reserve Bank of Dallas, vol. 4(nov).
    7. Christiane Baumeister & Lutz Kilian & Thomas K. Lee, 2017. "Inside the Crystal Ball: New Approaches to Predicting the Gasoline Price at the Pump," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(2), pages 275-295, March.
    8. Du, Xiaodong & Hayes, Dermot J., 2009. "The impact of ethanol production on US and regional gasoline markets," Energy Policy, Elsevier, vol. 37(8), pages 3227-3234, August.
    9. Stephen P. A. Brown & Raghav Virmani, 2007. "What's driving gasoline prices?," Economic Letter, Federal Reserve Bank of Dallas, vol. 2(oct).
    10. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    11. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    12. Banerjee, Anindya & Dolado, Juan J. & Galbraith, John W. & Hendry, David, 1993. "Co-integration, Error Correction, and the Econometric Analysis of Non-Stationary Data," OUP Catalogue, Oxford University Press, number 9780198288107, Decembrie.
    13. Yao, Yi-Ching, 1988. "Estimating the number of change-points via Schwarz' criterion," Statistics & Probability Letters, Elsevier, vol. 6(3), pages 181-189, February.
    14. Xiaodong Du & Dermot J. Hayes, 2008. "Impact of Ethanol Production on U.S. and Regional Gasoline Prices and on the Profitability of the U.S. Oil Refinery Industry, The," Center for Agricultural and Rural Development (CARD) Publications 08-wp467, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    15. Bagnai, Alberto & Mongeau Ospina, Christian Alexander, 2018. "Asymmetries, outliers and structural stability in the US gasoline market," Energy Economics, Elsevier, vol. 69(C), pages 250-260.
    16. Grasso, Margherita & Manera, Matteo, 2007. "Asymmetric error correction models for the oil-gasoline price relationship," Energy Policy, Elsevier, vol. 35(1), pages 156-177, January.
    17. Chouinard Hayley H & Perloff Jeffrey M, 2007. "Gasoline Price Differences: Taxes, Pollution Regulations, Mergers, Market Power, and Market Conditions," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 7(1), pages 1-28, January.
    18. Bumpass, Donald & Ginn, Vance & Tuttle, M.H., 2015. "Retail and wholesale gasoline price adjustments in response to oil price changes," Energy Economics, Elsevier, vol. 52(PA), pages 49-54.
    19. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    20. Johansen, Soren, 1992. "Determination of Cointegration Rank in the Presence of a Linear Trend," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 383-397, August.
    21. Douglas, Christopher C., 2010. "Do gasoline prices exhibit asymmetry? Not usually!," Energy Economics, Elsevier, vol. 32(4), pages 918-925, July.
    22. 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.
    23. Chen, Li-Hsueh & Finney, Miles & Lai, Kon S., 2005. "A threshold cointegration analysis of asymmetric price transmission from crude oil to gasoline prices," Economics Letters, Elsevier, vol. 89(2), pages 233-239, November.
    24. Perdiguero-García, Jordi, 2013. "Symmetric or asymmetric oil prices? A meta-analysis approach," Energy Policy, Elsevier, vol. 57(C), pages 389-397.
    25. Chouinard Hayley H & Perloff Jeffrey M, 2007. "Gasoline Price Differences: Taxes, Pollution Regulations, Mergers, Market Power, and Market Conditions," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 7(1), pages 1-28, January.
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    2. 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.
    3. James Ming Chen & Mobeen Ur Rehman, 2021. "A Pattern New in Every Moment: The Temporal Clustering of Markets for Crude Oil, Refined Fuels, and Other Commodities," Energies, MDPI, vol. 14(19), pages 1-58, September.
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    5. Fousekis, Panos & Tzaferi, Dimitra, 2018. "Market connectedness in the US beef supply chain," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 0(Issue 1).

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    More about this item

    Keywords

    Gasoline supply chain; Structural break; Asymmetric price adjustment;
    All these 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
    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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