IDEAS home Printed from https://ideas.repec.org/a/oup/econjl/v134y2024i662p2252-2289..html
   My bibliography  Save this article

The Shale Revolution and the Dynamics of the Oil Market

Author

Listed:
  • Nathan S Balke
  • Xin Jin
  • Mine Yücel

Abstract

We build and estimate a dynamic, structural model of the world oil market to quantify the impact of the shale revolution. We model the shale revolution as a decrease in shale production costs and find that the resultant increase in shale production lowers oil prices by 24% in the short run and 48% once the shale oil transition is complete. Current oil price volatility is lowered by 8% to 23% depending on the horizon. We also find that OPEC core acts to keep its market share constant in the face of the dramatic increase in shale production.

Suggested Citation

  • Nathan S Balke & Xin Jin & Mine Yücel, 2024. "The Shale Revolution and the Dynamics of the Oil Market," The Economic Journal, Royal Economic Society, vol. 134(662), pages 2252-2289.
    • Handle: RePEc:oup:econjl:v:134:y:2024:i:662:p:2252-2289.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/ej/ueae013
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Lutz Kilian, 2017. "The Impact of the Fracking Boom on Arab Oil Producers," The Energy Journal, , vol. 38(6), pages 137-160, November.
    2. Spilimbergo, Antonio, 2001. "Testing the hypothesis of collusive behavior among OPEC members," Energy Economics, Elsevier, vol. 23(3), pages 339-353, May.
    3. Hilde C. Bjørnland & Frode Martin Nordvik & Maximilian Rohrer, 2021. "Supply flexibility in the shale patch: Evidence from North Dakota," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(3), pages 273-292, April.
    4. Ana María Herrera & Sandeep Kumar Rangaraju, 2020. "The effect of oil supply shocks on US economic activity: What have we learned?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(2), pages 141-159, March.
    5. 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).
    6. Thomas S. Gundersen, 2020. "The Impact of U.S. Supply Shocks on the Global Oil Price," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    7. James L. Smith, 2005. "Inscrutable OPEC? Behavioral Tests of the Cartel Hypothesis," The Energy Journal, , vol. 26(1), pages 51-82, January.
    8. Guerrieri, Luca & Iacoviello, Matteo, 2015. "OccBin: A toolkit for solving dynamic models with occasionally binding constraints easily," Journal of Monetary Economics, Elsevier, vol. 70(C), pages 22-38.
    9. Kleinberg, R.L. & Paltsev, S. & Ebinger, C.K.E. & Hobbs, D.A. & Boersma, T., 2018. "Tight oil market dynamics: Benchmarks, breakeven points, and inelasticities," Energy Economics, Elsevier, vol. 70(C), pages 70-83.
    10. Pedro A. Almoguera & Christopher C. Douglas & Ana María Herrera, 2011. "Testing for the cartel in OPEC: non-cooperative collusion or just non-cooperative?," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 27(1), pages 144-168, Spring.
    11. Comin, Diego & Mestieri, Martí, 2014. "Technology Diffusion: Measurement, Causes, and Consequences," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 2, chapter 2, pages 565-622, Elsevier.
    12. Belu Mănescu, Cristiana & Nuño, Galo, 2015. "Quantitative effects of the shale oil revolution," Energy Policy, Elsevier, vol. 86(C), pages 855-866.
    13. Nida Çakır Melek & Michael D. Plante & Mine K. Yücel, 2017. "The U.S. Shale Oil Boom, the Oil Export Ban, and the Economy: A General Equilibrium Analysis," Working Papers 1708, Federal Reserve Bank of Dallas.
    14. Huppmann, Daniel, 2013. "Endogenous shifts in OPEC market power - A Stackelberg oligopoly with fringe," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79758, Verein für Socialpolitik / German Economic Association.
    15. Pindyck, Robert S, 1978. "Gains to Producers from the Cartelization of Exhaustible Resources," The Review of Economics and Statistics, MIT Press, vol. 60(2), pages 238-251, May.
    16. Backus, David K. & Crucini, Mario J., 2000. "Oil prices and the terms of trade," Journal of International Economics, Elsevier, vol. 50(1), pages 185-213, February.
    17. A.F Alhajji & David Huettner, 2000. "OPEC and World Crude Oil Markets from 1973 to 1994: Cartel, Oligopoly, or Competitive?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 31-60.
    18. Christiane Baumeister & James D. Hamilton, 2019. "Structural Interpretation of Vector Autoregressions with Incomplete Identification: Revisiting the Role of Oil Supply and Demand Shocks," American Economic Review, American Economic Association, vol. 109(5), pages 1873-1910, May.
    19. Salant, Stephen W, 1976. "Exhaustible Resources and Industrial Structure: A Nash-Cournot Approach to the World Oil Market," Journal of Political Economy, University of Chicago Press, vol. 84(5), pages 1079-1093, October.
    20. Clifton T. Jones, 1990. "OPEC Behaviour Under Falling Prices: Implications For Cartel Stability," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 117-130.
    21. Anton Nakov & Galo Nuño, 2013. "Saudi Arabia and the Oil Market," Economic Journal, Royal Economic Society, vol. 123(12), pages 1333-1362, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tsionas, Mike G. & Philippas, Dionisis & Philippas, Nikolaos, 2022. "Multivariate stochastic volatility for herding detection: Evidence from the energy sector," Energy Economics, Elsevier, vol. 109(C).

    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. Antonio Fernandois & Carlos A. Medel, 2020. "Geopolitical tensions, OPEC news, and the oil price: A granger causality analysis," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 35(2), pages 57-90, October.
    2. Golombek, Rolf & Irarrazabal, Alfonso A. & Ma, Lin, 2018. "OPEC's market power: An empirical dominant firm model for the oil market," Energy Economics, Elsevier, vol. 70(C), pages 98-115.
    3. Even Comfort Hvinden, 2019. "OPEC's crude game," Working Papers No 10/2019, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    4. Durand-Lasserve, Olivier & Pierru, Axel, 2021. "Modeling world oil market questions: An economic perspective," Energy Policy, Elsevier, vol. 159(C).
    5. Thomas St rdal Gundersen & Even Soltvedt Hvinden, 2021. "OPEC's crude game: Strategic Competition and Regime-switching in Global Oil Markets," Working Papers No 01/2021, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    6. Kilian, Lutz, 2022. "Facts and fiction in oil market modeling," Energy Economics, Elsevier, vol. 110(C).
    7. Wood, Aaron D. & Mason, Charles F. & Finnoff, David, 2016. "OPEC, the Seven Sisters, and oil market dominance: An evolutionary game theory and agent-based modeling approach," Journal of Economic Behavior & Organization, Elsevier, vol. 132(PB), pages 66-78.
    8. Kilian, Lutz & Zhou, Xiaoqing, 2022. "Oil prices, exchange rates and interest rates," Journal of International Money and Finance, Elsevier, vol. 126(C).
    9. Reynolds, Douglas B. & Pippenger, Michael K., 2010. "OPEC and Venezuelan oil production: Evidence against a cartel hypothesis," Energy Policy, Elsevier, vol. 38(10), pages 6045-6055, October.
    10. 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.
    11. Khalid Kisswani, 2014. "OPEC and political considerations when deciding on oil extraction," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 38(1), pages 96-118, January.
    12. Lutz Kilian & Xiaoqing Zhou, 2020. "Does drawing down the US Strategic Petroleum Reserve help stabilize oil prices?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(6), pages 673-691, September.
    13. Kilian, Lutz, 2022. "Understanding the estimation of oil demand and oil supply elasticities," Energy Economics, Elsevier, vol. 107(C).
    14. Mr. Alberto Behar & Robert A Ritz, 2016. "An Analysis of OPEC’s Strategic Actions, US Shale Growth and the 2014 Oil Price Crash," IMF Working Papers 2016/131, International Monetary Fund.
    15. 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.
    16. Kisswani, Khalid M., 2016. "Does OPEC act as a cartel? Empirical investigation of coordination behavior," Energy Policy, Elsevier, vol. 97(C), pages 171-180.
    17. Bharati, Rakesh & Crain, Susan J. & Kaminski, Vincent, 2012. "Clustering in crude oil prices and the target pricing zone hypothesis," Energy Economics, Elsevier, vol. 34(4), pages 1115-1123.
    18. Alberto Behar & Robert A. Ritz, 2016. "OPEC vs US shale oil: Analyzing the shift to a market-share strategy," Cambridge Working Papers in Economics 1623, Faculty of Economics, University of Cambridge.
    19. Almutairi, Hossa & Pierru, Axel & Smith, James L., 2024. "Managing the oil market under misinformation: A reasonable quest?," Journal of Commodity Markets, Elsevier, vol. 34(C).
    20. Chen, Yu-Fu & Mu, Xiaoyi, 2021. "Asymmetric volatility in commodity markets," Journal of Commodity Markets, Elsevier, vol. 22(C).

    More about this item

    JEL classification:

    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • 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

    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:oup:econjl:v:134:y:2024:i:662:p:2252-2289.. 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: Oxford University Press or the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/resssea.html .

    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.