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The U.S. Shale Oil Revolution and the Behavior of Commodity Prices

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  • Afees Adebare Salisu

    (Centre for Econometric and Allied Research, University of Ibadan; Department of Economics, Obafemi Awolowo University, Nigeria)

  • Idris A. Adediran

    (Department of Economics, Obafemi Awolowo University, Nigeria)

Abstract

The United States is committed to technological improvements in horizontal drilling and hydraulic fracturing in its drive of toppling the world's leading oil producers by the mid-2020s and evolving into a net oil exporter by 2030. Consequently, these technological innovations revolutionized the U.S. oil sector and the international oil market with increasing relevance of the shale oil and attendant shock spillovers to financial and commodity markets. Upon these attractions and consistent with evidence in the literature, we trace the oil price and commodity price dynamics to the shale oil revolution using a recursive structural VAR model of the shale supply shocks. In line with the standard practice of ensuring sensitivity of results, we conduct analyses such as impulse responses, forecast-error variance decomposition, and historical decompositions to accommodate energy and nonenergy commodity components. We show, in addition to the popular view in the extant literature, that the shale oil revolution is not only associated with the recent oil price plunge, but also responsible for the tumble in the total energy-based commodity prices with crude oil price being just a component.

Suggested Citation

  • Afees Adebare Salisu & Idris A. Adediran, 2018. "The U.S. Shale Oil Revolution and the Behavior of Commodity Prices," Econometric Research in Finance, SGH Warsaw School of Economics, Collegium of Economic Analysis, vol. 3(1), pages 27-53, September.
  • Handle: RePEc:sgh:erfinj:v:3:y:2018:i:1:p:27-53
    DOI: 10.33119/ERFIN.2018.3.1.2
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    Cited by:

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    3. Solarin, Sakiru Adebola & Bello, Mufutau Opeyemi, 2020. "The impact of shale gas development on the U.S economy: Evidence from a quantile autoregressive distributed lag model," Energy, Elsevier, vol. 205(C).
    4. Solarin, Sakiru Adebola, 2020. "The effects of shale oil production, capital and labour on economic growth in the United States: A maximum likelihood analysis of the resource curse hypothesis," Resources Policy, Elsevier, vol. 68(C).

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    More about this item

    Keywords

    U.S. shale oil revolution; oil shocks; commodity prices; SVAR;
    All these keywords.

    JEL classification:

    • 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
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • Q02 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Commodity Market
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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