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COVID-19 and Daily Oil Price Pass-Through

Author

Listed:
  • Hakan Yilmazkuday

    (Department of Economics, Florida International University)

Abstract

This paper investigates the (crude) oil price pass-through into gasoline spot and gasoline retail prices in the U.S. due to the e¤ects of coronavirus disease 2019 (COVID-19). The investigation is achieved by using daily data in a structural vector autoregression framework. The oil price pass-through is measured as the cumulative impulse response of gasoline spot or gasoline retail prices divided by the cumulative impulse response of oil prices, both following a percentage change in total number of the U.S. COVID-19 cases. The results suggest evidence for complete pass-through of oil prices into gasoline spot prices, whereas the corresponding pass-through into gasoline retail prices is about 29 percent in the long run.

Suggested Citation

  • Hakan Yilmazkuday, 2021. "COVID-19 and Daily Oil Price Pass-Through," Working Papers 2113, Florida International University, Department of Economics.
    • Handle: RePEc:fiu:wpaper:2113
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    References listed on IDEAS

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    1. Coibion, Olivier & Gorodnichenko, Yuriy & Weber, Michael, 2020. "Labor Markets During the Covid-19 Crisis: A Preliminary View," Department of Economics, Working Paper Series qt7rx7t91p, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    2. Christopher A. Sims, 1986. "Are forecasting models usable for policy analysis?," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 10(Win), pages 2-16.
    3. Forsythe, Eliza & Kahn, Lisa B. & Lange, Fabian & Wiczer, David, 2020. "Labor demand in the time of COVID-19: Evidence from vacancy postings and UI claims," Journal of Public Economics, Elsevier, vol. 189(C).
    4. 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.
    5. Blair, Benjamin F. & Campbell, Randall C. & Mixon, Phillip A., 2017. "Price pass-through in US gasoline markets," Energy Economics, Elsevier, vol. 65(C), pages 42-49.
    6. Demet Yilmazkuday & Hakan Yilmazkuday, 2016. "Understanding gasoline price dispersion," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 57(1), pages 223-252, July.
    7. Alexander W. Bartik & Marianne Bertrand & Zoë B. Cullen & Edward L. Glaeser & Michael Luca & Christopher T. Stanton, 2020. "How Are Small Businesses Adjusting to COVID-19? Early Evidence from a Survey," NBER Working Papers 26989, National Bureau of Economic Research, Inc.
    8. Bernanke, Ben S., 1986. "Alternative explanations of the money-income correlation," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 25(1), pages 49-99, January.
    9. Meyler, Aidan, 2009. "The pass through of oil prices into euro area consumer liquid fuel prices in an environment of high and volatile oil prices," Energy Economics, Elsevier, vol. 31(6), pages 867-881, November.
    10. Yilmazkuday, Hakan, 2017. "Asymmetric incidence of sales taxes: A short-run investigation of gasoline prices," Journal of Economics and Business, Elsevier, vol. 91(C), pages 16-23.
    11. Shambaugh, Jay, 2008. "A new look at pass-through," Journal of International Money and Finance, Elsevier, vol. 27(4), pages 560-591, June.
    12. Davis, Michael C & Hamilton, James D, 2004. "Why Are Prices Sticky? The Dynamics of Wholesale Gasoline Prices," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 36(1), pages 17-37, February.
    13. 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.
    14. Olivier J. Blanchard & Mark W. Watson, 1986. "Are Business Cycles All Alike?," NBER Chapters, in: The American Business Cycle: Continuity and Change, pages 123-180, National Bureau of Economic Research, Inc.
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    JEL classification:

    • 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

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