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The Impact of U.S. Supply Shocks on the Global Oil Price

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  • Thomas S. Gundersen

Abstract

I examine the role of the U.S. shale oil boom in driving global oil prices. Using a structural vector autoregressive (SVAR) model that identifies separate oil supply shocks for the U.S. and OPEC, I find that U.S. supply shocks have exerted considerable negative pressure on the oil price. More specifically, U.S. supply shocks explain up to 13% of the oil price variation over the 2003 2015 period, considerably more than what has been found in other studies. However, the timing of the downward pressure on prices is delayed relative to the boom in U.S. shale oil production. This mismatch implies a temporary friction in the transmission of U.S. supply shocks to the rest of the world likely caused by logistical and technological challenges in the downstream supply chain.

Suggested Citation

  • Thomas S. Gundersen, 2018. "The Impact of U.S. Supply Shocks on the Global Oil Price," Working Papers No 7/2018, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    • Handle: RePEc:bny:wpaper:0065
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    1. Uhlig, Harald, 2005. "What are the effects of monetary policy on output? Results from an agnostic identification procedure," Journal of Monetary Economics, Elsevier, vol. 52(2), pages 381-419, March.
    2. 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.
    3. Faust, Jon, 1998. "The robustness of identified VAR conclusions about money," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 49(1), pages 207-244, December.
    4. Kilian, Lutz & Vigfusson, Robert J., 2011. "Nonlinearities In The Oil Price–Output Relationship," Macroeconomic Dynamics, Cambridge University Press, vol. 15(S3), pages 337-363, November.
    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. Alquist, Ron & Guénette, Justin-Damien, 2014. "A blessing in disguise: The implications of high global oil prices for the North American market," Energy Policy, Elsevier, vol. 64(C), pages 49-57.
    7. Christiane Baumeister & Gert Peersman, 2013. "The Role Of Time‐Varying Price Elasticities In Accounting For Volatility Changes In The Crude Oil Market," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(7), pages 1087-1109, November.
    8. Kilian,Lutz & Lütkepohl,Helmut, 2018. "Structural Vector Autoregressive Analysis," Cambridge Books, Cambridge University Press, number 9781107196575, October.
    9. Canova, Fabio & Paustian, Matthias, 2011. "Business cycle measurement with some theory," Journal of Monetary Economics, Elsevier, vol. 58(4), pages 345-361.
    10. Richard G. Newell and Brian C. Prest, 2019. "The Unconventional Oil Supply Boom: Aggregate Price Response from Microdata," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    11. Caldara, Dario & Cavallo, Michele & Iacoviello, Matteo, 2019. "Oil price elasticities and oil price fluctuations," Journal of Monetary Economics, Elsevier, vol. 103(C), pages 1-20.
    12. Kadiyala, K Rao & Karlsson, Sune, 1997. "Numerical Methods for Estimation and Inference in Bayesian VAR-Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(2), pages 99-132, March-Apr.
    13. Kolodzeij, Marek & Kaufmann, Robert.K., 2014. "Oil demand shocks reconsidered: A cointegrated vector autoregression," Energy Economics, Elsevier, vol. 41(C), pages 33-40.
    14. Ratti, Ronald A. & Vespignani, Joaquin L., 2015. "OPEC and non-OPEC oil production and the global economy," Energy Economics, Elsevier, vol. 50(C), pages 364-378.
    15. Andrew Binning, 2013. "Underidentified SVAR models: A framework for combining short and long-run restrictions with sign-restrictions," Working Paper 2013/14, Norges Bank.
    16. 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.
    17. Lutz Kilian & Daniel P. Murphy, 2012. "Why Agnostic Sign Restrictions Are Not Enough: Understanding The Dynamics Of Oil Market Var Models," Journal of the European Economic Association, European Economic Association, vol. 10(5), pages 1166-1188, October.
    18. Canova, Fabio & de Nicolo, Gianni, 2003. "On the sources of business cycles in the G-7," Journal of International Economics, Elsevier, vol. 59(1), pages 77-100, January.
    19. Behar, Alberto & Ritz, Robert A., 2017. "OPEC vs US shale: Analyzing the shift to a market-share strategy," Energy Economics, Elsevier, vol. 63(C), pages 185-198.
    20. Jon Faust, 1998. "The robustness of identified VAR conclusions about money," International Finance Discussion Papers 610, Board of Governors of the Federal Reserve System (U.S.).
    21. Lutz Kilian, 2009. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," American Economic Review, American Economic Association, vol. 99(3), pages 1053-1069, June.
    22. Nida Çakır Melek & Chad R. Wilkerson, 2014. "Getting crude to market: central U.S. oil transportation challenges," Main Street Economist, Federal Reserve Bank of Kansas City, issue 1, pages 1-7.
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    Cited by:

    1. Zeina Alsalman, 2021. "Does the source of oil supply shock matter in explaining the behavior of U.S. consumer spending and sentiment?," Empirical Economics, Springer, vol. 61(3), pages 1491-1518, September.

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    More about this item

    Keywords

    structural VARs; oil prices; demand and supply shocks; shale oil;
    All these keywords.

    JEL classification:

    • F0 - International Economics - - General

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