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Facts and fiction in oil market modeling

Author

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  • Kilian, Lutz
Abstract
A series of recent articles has called into question the validity of VAR models of the global market for crude oil. These studies seek to replace existing oil market models by structural VAR models of their own based on different data, different identifying assumptions, and a different econometric approach. Their main aim has been to revise the consensus in the literature that oil demand shocks are a more important determinant of oil price fluctuations than oil supply shocks. Substantial progress has been made in recent years in sorting out the pros and cons of the underlying econometric methodologies and data in this debate, and in separating claims that are supported by empirical evidence from claims that are not. The purpose of this paper is to take stock of the VAR literature on global oil markets and to synthesize what we have learned. Combining this evidence with new data and analysis, I make the case that the concerns regarding the existing VAR oil market literature have been overstated and that the results from these models are quite robust to changes in the model specification.

Suggested Citation

  • Kilian, Lutz, 2021. "Facts and fiction in oil market modeling," CFS Working Paper Series 661, Center for Financial Studies (CFS).
  • Handle: RePEc:zbw:cfswop:661
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    References listed on IDEAS

    as
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    Cited by:

    1. Atsushi Inoue & Lutz Kilian, 2020. "The Role of the Prior in Estimating VAR Models with Sign Restrictions," Working Papers 2030, Federal Reserve Bank of Dallas.
    2. Zhang, Zhikai & Wang, Yudong & Xiao, Jihong & Zhang, Yaojie, 2023. "Not all geopolitical shocks are alike: Identifying price dynamics in the crude oil market under tensions," Resources Policy, Elsevier, vol. 80(C).
    3. Carrillo-Maldonado, Paul & Díaz-Cassou, Javier, 2023. "An anatomy of external shocks in the Andean region," The Journal of Economic Asymmetries, Elsevier, vol. 27(C).
    4. Kilian, Lutz, 2022. "Understanding the estimation of oil demand and oil supply elasticities," Energy Economics, Elsevier, vol. 107(C).
    5. Li, Ye & Chen, Yiyan & Lean, Hooi Hooi, 2024. "Geopolitical risk and crude oil price predictability: Novel decomposition ensemble approach based ternary interval number series," Resources Policy, Elsevier, vol. 92(C).
    6. Dalheimer, Bernhard & Herwartz, Helmut & Lange, Alexander, 2021. "The threat of oil market turmoils to food price stability in Sub-Saharan Africa," Energy Economics, Elsevier, vol. 93(C).
    7. Banerjee, Joshua J., 2024. "Inflationary oil shocks, fiscal policy, and debt dynamics: New evidence from oil-importing OECD economies," Energy Economics, Elsevier, vol. 130(C).
    8. Zeina Alsalman, 2023. "Oil price shocks and US unemployment: evidence from disentangling the duration of unemployment spells in the labor market," Empirical Economics, Springer, vol. 65(1), pages 479-511, July.
    9. Chen, Jianyu & Zhang, Jianshun, 2023. "Crude oil price shocks, volatility spillovers, and global systemic financial risk transmission mechanisms: Evidence from the stock and foreign exchange markets," Resources Policy, Elsevier, vol. 85(PB).
    10. Jihad El Hokayem & Ibrahim Jamali & Ale Hejase, 2024. "A forecasting model for oil prices using a large set of economic indicators," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(5), pages 1615-1624, August.
    11. Benk, Szilard & Gillman, Max, 2023. "Identifying money and inflation expectation shocks to real oil prices," Energy Economics, Elsevier, vol. 126(C).
    12. Nonejad, Nima, 2020. "An observation regarding Hamilton’s recent criticisms of Kilian’s global real economic activity index," Economics Letters, Elsevier, vol. 196(C).
    13. Palmén, Olli, 2020. "Sovereign default risk and credit supply: Evidence from the euro area," Journal of International Money and Finance, Elsevier, vol. 109(C).
    14. 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.
    15. Iania, Leonardo & Lyrio, Marco & Nersisyan, Liana, 2023. "Oil Price Shocks and Bond Risk Premia: Evidence from a Panel of 15 Countries," LIDAM Discussion Papers LFIN 2023002, Université catholique de Louvain, Louvain Finance (LFIN).
    16. 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.
    17. 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.
    18. Paul Carrillo‐Maldonado, 2023. "Partial identification for growth regimes: The case of Latin American countries," Metroeconomica, Wiley Blackwell, vol. 74(3), pages 557-583, July.
    19. Braun, Robin, 2021. "The importance of supply and demand for oil prices: evidence from non-Gaussianity," Bank of England working papers 957, Bank of England.
    20. 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.

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    More about this item

    Keywords

    Elasticity; structural VAR; Bayesian inference; oil price; global real activity; oil inventories;
    All these keywords.

    JEL classification:

    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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