Understanding Rig Rates
We examine the largest cost component in offshore development projects, drilling rates, which have been high over the last years. To our knowledge, rig rates have not been analysed empirically before in the economic literature. By econometric analysis we examine the effects on Gulf of Mexico rig rates of gas and oil prices, rig capacity utilization, contract length and lead time, and rig specific characteristics. Having access to a unique data set containing contract information, we are able to estimate how contract parameters crucial to the relative bargaining power between rig owners and oil and gas companies affect rig rates. Our econometric framework is a single equation random effects model in which the systematic part of the equation is non-linear in the parameters. The non-linearity is due to representing the effects of gas and oil prices by a CES price aggregate. Such a model belongs to the class of non-linear mixed models which has been heavily utilized within the biological sciences.
|Date of creation:||08 May 2012|
|Contact details of provider:|| Postal: University of Stavanger, NO-4036 Stavanger, Norway|
Web page: http://www.uis.no/research/economics_and_finance
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- Ringlund, Guro Bornes & Rosendahl, Knut Einar & Skjerpen, Terje, 2008.
"Does oilrig activity react to oil price changes An empirical investigation,"
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"Financial market pressure, tacit collusion and oil price formation,"
Elsevier, vol. 32(2), pages 389-398, March.
- Aune, Finn Roar & Mohn, Klaus & Osmundsen, Petter & Rosendahl, Knut Einar, 2009. "Financial market pressures, tacit collusion and oil price formation," UiS Working Papers in Economics and Finance 2009/14, University of Stavanger.
- Ryan Kellogg, 2009.
"Learning by Drilling: Inter-Firm Learning and Relationship Persistence in the Texas Oilpatch,"
NBER Working Papers
15060, National Bureau of Economic Research, Inc.
- Ryan Kellogg, 2011. "Learning by Drilling: Interfirm Learning and Relationship Persistence in the Texas Oilpatch," The Quarterly Journal of Economics, Oxford University Press, vol. 126(4), pages 1961-2004.
- Modjtahedi, Bagher & Movassagh, Nahid, 2005. "Natural-gas futures: Bias, predictive performance, and the theory of storage," Energy Economics, Elsevier, vol. 27(4), pages 617-637, July.
- Osmundsen, Petter & Roll, Kristin Helen & Tveteras, Ragnar, 2012. "Drilling speed—the relevance of experience," Energy Economics, Elsevier, vol. 34(3), pages 786-794.
- Kenneth S. Corts, 2004. "The Effect of Repeated Interaction on Contract Choice: Evidence from Offshore Drilling," Journal of Law, Economics and Organization, Oxford University Press, vol. 20(1), pages 230-260, April.
- Boyce, John R. & Nøstbakken, Linda, 2011. "Exploration and development of U.S. oil and gas fields, 1955-2002," Journal of Economic Dynamics and Control, Elsevier, vol. 35(6), pages 891-908, June.
- Klaus Mohn, 2008. "Efforts and Efficiency in Oil Exploration: A Vector Error-Correction Approach," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 53-78.
- Nguyen, Hang T. & Nabney, Ian T., 2010. "Short-term electricity demand and gas price forecasts using wavelet transforms and adaptive models," Energy, Elsevier, vol. 35(9), pages 3674-3685.
- Osmundsen, Petter & Roll, Kristin Helen & Tveterås , Ragnar, 2009. "Exploration drilling productivity at the Norwegian Shelf," UiS Working Papers in Economics and Finance 2009/34, University of Stavanger.
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