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The Asymmetric Impact of Oil Prices and Production on Drilling Rig Trajectory: A correction

Author

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  • Ewing, Bradley T.
  • Payne, James E.
  • Caporin, Massimilano

Abstract

•This paper provides a correction to a coding error in a previously published paper.•The study utilizes linear and nonlinear ARDL bounds testing to examine relationships between the type of drilling rig, real oil prices, and oil production.•The results illustrate the importance of drilling rig trajectory in the operations of oil producing firms.

Suggested Citation

  • Ewing, Bradley T. & Payne, James E. & Caporin, Massimilano, 2022. "The Asymmetric Impact of Oil Prices and Production on Drilling Rig Trajectory: A correction," Resources Policy, Elsevier, vol. 79(C).
    • Handle: RePEc:eee:jrpoli:v:79:y:2022:i:c:s0301420722004950
    DOI: 10.1016/j.resourpol.2022.103052
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    References listed on IDEAS

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    1. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    2. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    3. Junsoo Lee & Mark C. Strazicich, 2003. "Minimum Lagrange Multiplier Unit Root Test with Two Structural Breaks," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 1082-1089, November.
    4. Anindya Banerjee & Juan Dolado & Ricardo Mestre, 1998. "Error‐correction Mechanism Tests for Cointegration in a Single‐equation Framework," Journal of Time Series Analysis, Wiley Blackwell, vol. 19(3), pages 267-283, May.
    5. Apergis, Nicholas & Ewing, Bradley T. & Payne, James E., 2021. "The asymmetric relationship of oil prices and production on drilling rig trajectory," Resources Policy, Elsevier, vol. 71(C).
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    More about this item

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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