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The European energy crisis and the US natural gas market dynamics: a structural VAR investigation

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  • Michał Rubaszek

    (SGH Warsaw School of Economics)

  • Karol Szafranek

    (SGH Warsaw School of Economics)

Abstract

The Russian invasion of Ukraine triggered severe disruptions in the European energy market, causing also significant shifts in global natural gas flows. We investigate how this European shock has affected the dynamics and altered the estimates of the elasticities on the US natural gas market. We use the Bayesian Structural Vector Autoregression framework proposed by Baumeister and Hamilton (Am Econ Rev 109(5):1873–1910, 2019, BH) for the crude oil market and applied by Rubaszek et al. (Energy Econ 103:105526, 2021, RSU) to analyze the dynamics of the US natural gas market. By extending the RSU model for natural gas exports and imports and deriving model’s posterior using most recent data, we approximate the impact of the European energy crisis on the US natural gas market. We show that the estimates of the US natural gas market elasticities change due to our modification, while simply updating the same prior beliefs with most recent data impacts the posterior estimates to a very limited extent. We also find that a shock even as major as the European energy crisis has only marginally affected the US natural gas market, thus confirming the results from the literature that the EU and US natural gas markets evolve independently.

Suggested Citation

  • Michał Rubaszek & Karol Szafranek, 2025. "The European energy crisis and the US natural gas market dynamics: a structural VAR investigation," International Economics and Economic Policy, Springer, vol. 22(1), pages 1-22, February.
  • Handle: RePEc:kap:iecepo:v:22:y:2025:i:1:d:10.1007_s10368-024-00636-6
    DOI: 10.1007/s10368-024-00636-6
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    as
    1. Gritz, Alexandra & Wolff, Guntram, 2024. "Gas and energy security in Germany and central and Eastern Europe," Energy Policy, Elsevier, vol. 184(C).
    2. Labandeira, Xavier & Labeaga, José M. & López-Otero, Xiral, 2017. "A meta-analysis on the price elasticity of energy demand," Energy Policy, Elsevier, vol. 102(C), pages 549-568.
    3. Kilian, Lutz, 2022. "Facts and fiction in oil market modeling," Energy Economics, Elsevier, vol. 110(C).
    4. Mohammed A. Al-Sahlawi, 1989. "The Demand for Natural Gas: A Survey of Price and Income Elasticities," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 77-90.
    5. Szafranek Karol & Rubaszek Michał, 2024. "Have European natural gas prices decoupled from crude oil prices? Evidence from TVP-VAR analysis," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(3), pages 507-530.
    6. Tadahiro Nakajima & Yuki Toyoshima, 2019. "Measurement of Connectedness and Frequency Dynamics in Global Natural Gas Markets," Energies, MDPI, vol. 12(20), pages 1-15, October.
    7. Dahl, Carol & Duggan, Thomas E., 1996. "U.S. energy product supply elasticities: A survey and application to the U.S. oil market," Resource and Energy Economics, Elsevier, vol. 18(3), pages 243-263, October.
    8. Bouwmeester, Maaike C. & Oosterhaven, J., 2017. "Economic impacts of natural gas flow disruptions between Russia and the EU," Energy Policy, Elsevier, vol. 106(C), pages 288-297.
    9. repec:zbw:bofrdp:2018_014 is not listed on IDEAS
    10. Hou, Chenghan & Nguyen, Bao H., 2018. "Understanding the US natural gas market: A Markov switching VAR approach," Energy Economics, Elsevier, vol. 75(C), pages 42-53.
    11. McWilliams, Ben & Sgaravatti, Giovanni & Tagliapietra, Simone & Zachmann, Georg, 2023. "How would the European Union fare without Russian energy?," Energy Policy, Elsevier, vol. 174(C).
    12. Burke, Paul J. & Yang, Hewen, 2016. "The price and income elasticities of natural gas demand: International evidence," Energy Economics, Elsevier, vol. 59(C), pages 466-474.
    13. Nguyen, Bao H. & Okimoto, Tatsuyoshi, 2019. "Asymmetric reactions of the US natural gas market and economic activity," Energy Economics, Elsevier, vol. 80(C), pages 86-99.
    14. Xiaoyi Mu & Haichun Ye, 2018. "Towards an Integrated Spot LNG Market: An Interim Assessment," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    15. Jadidzadeh, Ali & Serletis, Apostolos, 2017. "How does the U.S. natural gas market react to demand and supply shocks in the crude oil market?," Energy Economics, Elsevier, vol. 63(C), pages 66-74.
    16. Baumeister, Christiane & Hamilton, James D., 2018. "Inference in structural vector autoregressions when the identifying assumptions are not fully believed: Re-evaluating the role of monetary policy in economic fluctuations," Journal of Monetary Economics, Elsevier, vol. 100(C), pages 48-65.
    17. Chenghan Hou & Bao H. Nguyen, 2018. "Understanding the US natural gas market: A Markov switching VAR approach," CAMA Working Papers 2018-14, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    18. Sims, Christopher A & Zha, Tao, 1998. "Bayesian Methods for Dynamic Multivariate Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 949-968, November.
    19. 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.
    20. Casoli, Chiara & Manera, Matteo & Valenti, Daniele, 2024. "Energy shocks in the Euro area: Disentangling the pass-through from oil and gas prices to inflation," Journal of International Money and Finance, Elsevier, vol. 147(C).
    21. Kan, S.Y. & Chen, B. & Wu, X.F. & Chen, Z.M. & Chen, G.Q., 2019. "Natural gas overview for world economy: From primary supply to final demand via global supply chains," Energy Policy, Elsevier, vol. 124(C), pages 215-225.
    22. Baumeister, Christiane & Hamilton, James, 2018. "Inference in Structural Vector Autoregressions When the Identifying Assumptions are Not Fully Believed: Re-evaluating the Role," CEPR Discussion Papers 12911, C.E.P.R. Discussion Papers.
    23. 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.
    24. Wakamatsu, Hiroki & Aruga, Kentaka, 2013. "The impact of the shale gas revolution on the U.S. and Japanese natural gas markets," Energy Policy, Elsevier, vol. 62(C), pages 1002-1009.
    25. Christiane Baumeister & James D. Hamilton, 2015. "Sign Restrictions, Structural Vector Autoregressions, and Useful Prior Information," Econometrica, Econometric Society, vol. 83(5), pages 1963-1999, September.
    26. Geng, Jiang-Bo & Ji, Qiang & Fan, Ying, 2016. "The impact of the North American shale gas revolution on regional natural gas markets: Evidence from the regime-switching model," Energy Policy, Elsevier, vol. 96(C), pages 167-178.
    27. Lutz Kilian & Daniel P. Murphy, 2014. "The Role Of Inventories And Speculative Trading In The Global Market For Crude Oil," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(3), pages 454-478, April.
    28. Rubaszek, Michał & Szafranek, Karol & Uddin, Gazi Salah, 2021. "The dynamics and elasticities on the U.S. natural gas market. A Bayesian Structural VAR analysis," Energy Economics, Elsevier, vol. 103(C).
    29. Wiggins, Seth & Etienne, Xiaoli L., 2017. "Turbulent times: Uncovering the origins of US natural gas price fluctuations since deregulation," Energy Economics, Elsevier, vol. 64(C), pages 196-205.
    30. Krichene, Noureddine, 2002. "World crude oil and natural gas: a demand and supply model," Energy Economics, Elsevier, vol. 24(6), pages 557-576, November.
    31. Kilian, Lutz, 2019. "Measuring global real economic activity: Do recent critiques hold up to scrutiny?," Economics Letters, Elsevier, vol. 178(C), pages 106-110.
    32. Mohammed A. Al-Sahlawi, 1989. "Research Reports The Demand for Natural Gas: A Survey of Price and Income Elasticities," The Energy Journal, , vol. 10(1), pages 77-90, January.
    33. 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.
    34. Xiaoyi Mu & Haichun Ye, 2018. "Towards an Integrated Spot LNG Market: An Interim Assessment," The Energy Journal, , vol. 39(1), pages 211-234, January.
    35. Kotek, Péter & Selei, Adrienn & Takácsné Tóth, Borbála & Felsmann, Balázs, 2023. "What can the EU do to address the high natural gas prices?," Energy Policy, Elsevier, vol. 173(C).
    36. Szafranek, Karol & Papież, Monika & Rubaszek, Michał & Śmiech, Sławomir, 2023. "How immune is the connectedness of European natural gas markets to exceptional shocks?," Resources Policy, Elsevier, vol. 85(PA).
    37. Chen, Yufeng & Wang, Chuwen & Zhu, Zhitao, 2022. "Toward the integration of European gas futures market under COVID-19 shock: A quantile connectedness approach," Energy Economics, Elsevier, vol. 114(C).
    38. Rubaszek, Michał & Uddin, Gazi Salah, 2020. "The role of underground storage in the dynamics of the US natural gas market: A threshold model analysis," Energy Economics, Elsevier, vol. 87(C).
    39. Pierce, Jonathan J. & Boudet, Hilary & Zanocco, Chad & Hillyard, Megan, 2018. "Analyzing the factors that influence U.S. public support for exporting natural gas," Energy Policy, Elsevier, vol. 120(C), pages 666-674.
    40. Papież, Monika & Rubaszek, Michał & Szafranek, Karol & Śmiech, Sławomir, 2022. "Are European natural gas markets connected? A time-varying spillovers analysis," Resources Policy, Elsevier, vol. 79(C).
    41. Broadstock, David C. & Li, Raymond & Wang, Linjin, 2020. "Integration reforms in the European natural gas market: A rolling-window spillover analysis," Energy Economics, Elsevier, vol. 92(C).
    42. James D. Hamilton, 2021. "Measuring global economic activity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(3), pages 293-303, April.
    43. 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.
    44. Paul L. Joskow, 2013. "Natural Gas: From Shortages to Abundance in the United States," American Economic Review, American Economic Association, vol. 103(3), pages 338-343, May.
    45. Zhang, Dayong & Ji, Qiang, 2018. "Further evidence on the debate of oil-gas price decoupling: A long memory approach," Energy Policy, Elsevier, vol. 113(C), pages 68-75.
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    More about this item

    Keywords

    Natural gas market; Structural VAR; Impulse-response function; Bayesian inference;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • 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
    • Q31 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Demand and Supply; Prices
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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