World crude oil and natural gas: a demand and supply model
No abstract is available for this item.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Bentzen, Jan & Engsted, Tom, 1993. "Short- and long-run elasticities in energy demand : A cointegration approach," Energy Economics, Elsevier, vol. 15(1), pages 9-16, January.
- Beveridge, Stephen & Nelson, Charles R., 1981. "A new approach to decomposition of economic time series into permanent and transitory components with particular attention to measurement of the `business cycle'," Journal of Monetary Economics, Elsevier, vol. 7(2), pages 151-174.
- McCallum, Bennett T, 1976. "Rational Expectations and the Natural Rate Hypothesis: Some Consistent Estimates," Econometrica, Econometric Society, vol. 44(1), pages 43-52, January.
- Dahl, Carol & Sterner, Thomas, 1991. "Analysing gasoline demand elasticities: a survey," Energy Economics, Elsevier, vol. 13(3), pages 203-210, July.
- Hausman, Jerry A & Newey, Whitney K & Taylor, William E, 1987.
"Efficient Estimation and Identification of Simultaneous Equation Models with Covariance Restrictions,"
Econometric Society, vol. 55(4), pages 849-874, July.
- J. Hausman & W. Newey & W. Taylor, 1983. "Efficient Estimation and Identification of Simultaneous Equation Models with Covariance Restrictions," Working papers 331, Massachusetts Institute of Technology (MIT), Department of Economics.
- Jerry A. Hausman & Whitney K. Newey & William E. Taylor, 1985. "Efficient Estimation and Identification of Simultaneous Equation Models with Covariance Restrictions," Working papers 369, Massachusetts Institute of Technology (MIT), Department of Economics.
- Rice, Patricia & Smith, V. Kerry, 1977. "An econometric model of the petroleum industry," Journal of Econometrics, Elsevier, vol. 6(3), pages 263-287, November.
- H. S. Houthakker & Philip K. Verleger & Dennis P. Sheehan, 1974. "Dynamic Demand Analyses for Gasoline and Residential Electricity," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 56(2), pages 412-418.
- Ramsey, J B & Rasche, R & Allen, Bruce T, 1975. "An Analysis of the Private and Commercial Demand for Gasoline," The Review of Economics and Statistics, MIT Press, vol. 57(4), pages 502-507, November. Full references (including those not matched with items on IDEAS)
When requesting a correction, please mention this item's handle: RePEc:eee:eneeco:v:24:y:2002:i:6:p:557-576. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.