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Does oilrig activity react to oil price changes? An empirical investigation

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In this paper we analyse how oilrig activity in different Non-OPEC regions is affected by the crude oil price. Oilrig activity outside OPEC is an important indicator for production in the near future, and is more sensitive to the oil price than production from existing fields. We estimate relationships between oilrig activity and crude oil prices using Equilibrium Correction Models (ECM) augmented with a stochastic time trend. The results generally show a positive relationship between oilrig activity and the crude oil price, but the strength of the relationship differs across regions. Rig activity in the US seems to react much faster and stronger to oil price changes compared to other regions. In the long-run the price elasticity in the US is above 1.5. Half the effect is observed after six months. In other regions the long-run elasticity is mainly between 0.5 and 1. Overall, it seems to be a clear relationship between the oil industry structure in the region and the reaction to price changes.

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  • Guro Børnes Ringlund & Knut Einar Rosendahl & Terje Skjerpen, 2004. "Does oilrig activity react to oil price changes? An empirical investigation," Discussion Papers 372, Statistics Norway, Research Department.
  • Handle: RePEc:ssb:dispap:372
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    1. Peter C.B. Phillips & Pierre Perron, 1986. "Testing for a Unit Root in Time Series Regression," Cowles Foundation Discussion Papers 795R, Cowles Foundation for Research in Economics, Yale University, revised Sep 1987.
    2. Harvey, Andrew, 2001. "Testing in Unobserved Components Models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 20(1), pages 1-19, January.
    3. Hunt, Lester C. & Judge, Guy & Ninomiya, Yasushi, 2003. "Underlying trends and seasonality in UK energy demand: a sectoral analysis," Energy Economics, Elsevier, vol. 25(1), pages 93-118, January.
    4. 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.
    5. Griffin, James M, 1985. "OPEC Behavior: A Test of Alternative Hypotheses," American Economic Review, American Economic Association, vol. 75(5), pages 954-963, December.
    6. Thompson, Andrew C., 2001. "The Hotelling Principle, backwardation of futures prices and the values of developed petroleum reserves -- the production constraint hypothesis," Resource and Energy Economics, Elsevier, vol. 23(2), pages 133-156, April.
    7. Lester C. Hunt (ed.), 2003. "Energy in a Competitive Market," Books, Edward Elgar Publishing, number 2519.
    8. Mohn, Klaus & Osmundsen, Petter, 2008. "Exploration economics in a regulated petroleum province: The case of the Norwegian Continental Shelf," Energy Economics, Elsevier, vol. 30(2), pages 303-320, March.
    9. Bardsen, Gunnar, 1989. "Estimation of Long Run Coefficients in Error Correction Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 51(3), pages 345-350, August.
    10. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    11. Pickering, Andrew, 2008. "The oil reserves production relationship," Energy Economics, Elsevier, vol. 30(2), pages 352-370, March.
    12. Harvey, A C, et al, 1986. "Stochastic Trends in Dynamic Regression Models: An Application to the Employment-Output Equations," Economic Journal, Royal Economic Society, vol. 96(384), pages 975-985, December.
    13. Farzin, Y. H., 2001. "The impact of oil price on additions to US proven reserves," Resource and Energy Economics, Elsevier, vol. 23(3), pages 271-292, July.
    14. Iledare, Omowumi O., 1995. "Simulating the effect of economic and policy incentives on natural gas drilling and gross reserve additions," Resource and Energy Economics, Elsevier, vol. 17(3), pages 261-279, November.
    15. Harvey, Andrew C & Koopman, Siem Jan, 1992. "Diagnostic Checking of Unobserved-Components Time Series Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(4), pages 377-389, October.
    16. Phillips, P C B, 1987. "Time Series Regression with a Unit Root," Econometrica, Econometric Society, vol. 55(2), pages 277-301, March.
    17. Lester C. Hunt & Guy Judge & Yasushi Ninomiya, 2003. "Modelling underlying energy demand trends," Chapters, in: Lester C. Hunt (ed.), Energy in a Competitive Market, chapter 9, Edward Elgar Publishing.
    18. Ralph W. Bailey & A. M. Robert Taylor, 2002. "An optimal test against a random walk component in a non-orthogonal unobserved components model," Econometrics Journal, Royal Economic Society, vol. 5(2), pages 520-532, June.
    19. Stephen J. Leybourne & Paul Newbold, 1999. "The behaviour of Dickey-Fuller and Phillips-Perron tests under the alternative hypothesis," Econometrics Journal, Royal Economic Society, vol. 2(1), pages 92-106.
    20. Jurgen A. Doornik & Henrik Hansen, 2008. "An Omnibus Test for Univariate and Multivariate Normality," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(s1), pages 927-939, December.
    21. Peter Boswijk, H., 1994. "Testing for an unstable root in conditional and structural error correction models," Journal of Econometrics, Elsevier, vol. 63(1), pages 37-60, July.
    22. Black, Geoffrey & LaFrance, Jeffrey T., 1998. "Is Hotelling's Rule Relevant to Domestic Oil Production?," Journal of Environmental Economics and Management, Elsevier, vol. 36(2), pages 149-169, September.
    23. Ramcharran, Harri, 2002. "Oil production responses to price changes: an empirical application of the competitive model to OPEC and non-OPEC countries," Energy Economics, Elsevier, vol. 24(2), pages 97-106, March.
    24. Robert S. Pindyck, 2001. "The Dynamics of Commodity Spot and Futures Markets: A Primer," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 1-30.
    25. Lester C. Hunt & Yasushi Ninomiya, 2003. "Unravelling Trends and Seasonality: A Structural Time Series Analysis of Transport Oil Demand in the UK and Japan," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 63-96.
    26. Renshaw, Edward F., 1989. "An oil import fee and drilling activity in the USA," Energy Economics, Elsevier, vol. 11(2), pages 158-160, April.
    27. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    28. Ian Rutledge, 2003. "Profitability and supply price in the US domestic oil industry: implications for the political economy of oil in the twenty-first century," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 27(1), pages 1-23, January.
    29. Dezhbakhsh, Hashem, 1990. "The Inappropriate Use of Serial Correlation Tests in Dynamic Linear Models," The Review of Economics and Statistics, MIT Press, vol. 72(1), pages 126-132, February.
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    More about this item

    Keywords

    Oilrig Activity; Oil Prices; Equilibrium Correction Model; Stochastic trend;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • Q31 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Demand and Supply; Prices
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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