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The Shale Oil Boom and the U.S. Economy: Spillovers and Time-Varying Effects

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  • Hilde C. Bjørnland
  • Julia Zhulanova

Abstract

We analyze if the transmission of oil price shocks on the U.S. economy has changed as a result of the shale oil boom. To do so we allow for spillovers at the state level, as well as aggregate country level effects. We identify and quantify these spillovers using a factor-augmented vector autoregressive (VAR) model, allowing for time-varying changes. In contrast to previous results, we find considerable changes in the way oil price shocks are transmitted: there are now positive spillovers to non-oil investment, employment and production in many U.S. states from an increase in the oil price - effects that were not present before the shale oil boom.

Suggested Citation

  • Hilde C. Bjørnland & Julia Zhulanova, 2018. "The Shale Oil Boom and the U.S. Economy: Spillovers and Time-Varying Effects," Working Papers No 8/2018, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    • Handle: RePEc:bny:wpaper:0066
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    Cited by:

    1. Knut Are Aastveit & Hilde C. Bjørnland & Thomas S. Gundersen, 2021. "The Price Responsiveness of Shale Producers: Evidence From Micro Data," Working Papers No 05/2021, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    2. Nguyen, Bao H. & Okimoto, Tatsuyoshi & Tran, Trung Duc, 2022. "Uncertainty-dependent and sign-dependent effects of oil market shocks," Journal of Commodity Markets, Elsevier, vol. 26(C).
    3. Arezki,Rabah & Cho,Caleb Sungwoo & Ha Nguyen & Pham,Anh, 2022. "Corporate Debt and Stock Returns : Evidence from U.S. Firms during the 2020 Oil Crash," Policy Research Working Paper Series 10079, The World Bank.
    4. Maitham A. Rodhan, 2023. "The Effect of US Shale Oil Production on Local and International Oil Markets," International Journal of Energy Economics and Policy, Econjournals, vol. 13(4), pages 433-443, July.
    5. Hilde C. Bjørnland, 2019. "Supply flexibility in the shale patch: Facts, no fiction," Working Papers No 08/2019, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    6. Alqahtani Abdullah & Taillard Michael, 2019. "The Impact of US Economic Policy Uncertainty Shock on GCC Stock Market Performance," Asian Journal of Law and Economics, De Gruyter, vol. 10(2), pages 1-13, August.
    7. Costa, Alexandre Bonnet R. & Ferreira, Pedro Cavalcanti G. & Gaglianone, Wagner P. & Guillén, Osmani Teixeira C. & Issler, João Victor & Lin, Yihao, 2021. "Machine learning and oil price point and density forecasting," Energy Economics, Elsevier, vol. 102(C).
    8. SAEED Abdullah, 2020. "Us Economic Policy Uncertainty And Gcc Stock Market Performance," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 15(1), pages 223-242, April.

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    More about this item

    Keywords

    Shale oil boom; FAVAR model; Time-varying changes; Geographical dispersion;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E42 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Monetary Sytsems; Standards; Regimes; Government and the Monetary System
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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