This paper demonstrates that models which combine the physical reserves of oil with economic and regulatory variables provide better forecasts of future production than models based on either reserves or economic variables alone. Four alternative models are specified and estimated. Out-of-sample forecasts show that a model combining reserves, lagged production, and the real price of oil performs much better than models based on reserves alone or economic variables alone.
AdelmanM. (1993). The Economics of Petroleum Supply. Cambridge, MA:: MIT Press.
2.
AdelmanM. (1995). “Sustainable Growth and Valuation of Mineral Reserves.” In MoroneyJ.R. (Ed.), Sustainable Economic Growth, pp. 45-68. Greenwich, Connecticut: JAI Press, Inc.
3.
AdelmanM.LynchM. (1997). “Fixed View of Resource Limits Creates Undue Pessimism.” Oil and Gas Journal (April7): 56-60.
4.
ClevelandC. (1991). “Physical and Economic Aspects of Resource Quality: The Cost of Oil Supply in the Lower 48 United States, 1938-1988.” Resources and Energy13: 163-188.
5.
ClevelandC. J.KaufmannR. (1991). “Forecasting Ultimate Oil Recovery and Its Rate of Production: Incorporating Economic Forces into the Models of M. King Hubbert.” The Energy Journal12(2): 17-46.
6.
DeGolyer and MacNaughton (1997). Twentieth Century Petroleum Statistics. Dallas, TX: DeGolyer and MacNaughton.
7.
FletcherR. (1974). “The Quadratic Law of Damped Exponential Growth.” Biometrics30: 111-124.
8.
GodfreyL. (1978). “Testing Against General Autoregressive and Moving Average Error Models When the Regressors Include Lagged Dependent Variables.” Econometrica46: 1293-1302.
9.
HotellingH. (1931). “The Economics of Exhaustible Resources.” Journal of Political Economy39 (April): 137-175.
10.
HubbertM. (1962). “Energy Resources. A Report to the Committee on Natural Resources,” Publication 1000-D. Technical report, National Academy of Sciences, Washington, D.C.
11.
HubbertM. (1967). “Degree of Advancement of Petroleum Exploration in the United States.” American Association of Petroleum Geologists Bulletin51: 2207-2227.
12.
HubbertM. (1971). “The Energy Resources of the Earth.” Scientific American (September): 61-70.
13.
HubbertM. (1974). U.S. Energy Resources, a Review as of 1972. Washington, D.C.: U.S. Government Printing Office.
14.
HubbertM. (1982). “Techniques of Prediction as Applied to the Production of Oil and Gas.” In GlassS. (Ed.), Oil and Gas Supply Modeling, pp. 16-141. Washington, D.C.: National Bureau of Standards, Special Publication 631.
15.
HubbertM. K. (1956). “Nuclear Energy and the Fossil Fuels.” In Drilling and Production Practices, pp. 7-25. Washington, DC: American Petroleum Institute (March).
16.
KaufmannR. K. (1991). “Oil Production in the Lower 48 States, Reconciling Curve Fitting and Econometric Models.” Resources and Energy31: 111-127.
17.
MooreC. (1970). “Future Petroleum Provinces of the United States-A Summary.” Technical report, National Petroleum Council, Washington, DC.
18.
MoroneyJ. R. (1997). Exploration, Development, and Production: Texas Oil and Gas, 1970-1995. Greenwich, Conn.: JAI Press.
19.
PesaranM.SamieiH. (1995). “Forecasting Ultimate Resource Recovery.” International Journal of Forecasting11: 543-555.
20.
PindyckR. S. (1978). “The Optimal Exploration and Production of Nonrenewable Resources.” Journal of Political Economy86(5): 841-861.
21.
PorterE. (1995). “U.S. Petroleum Supply: History and Prospects.” In MoroneyJ. (Ed.), Advances in the Economics of Energy and Resources, Volume 9. Greenwich, CT: JAI Press Inc.
22.
PorterE. (1997). “Are We Running Out of Oil?” In MoroneyJ.R. (Ed.), Energy Supply and Demand, pp. 185-251. Greenwich, Connecticut: JAI Press.
23.
RyanJ. M. (1965). “Discussion.” Bulletin of the American Association of Petroleum Geologists49(10): 1713-1727.
24.
U.S. Department of Energy, Energy Information Administration (1984). “Two Approaches to the Linkage of U.S. Oil and Gas Reserve Estimates.” Technical Report DOE/EIA-0452, Washington, D.C. (July).
25.
WiorkowskiJ. J. (1981). “Estimating Volumes of Remaining Fossil Fuel Resources: A Critical Review.” Journal of the American Statistical Association76(375): 534-559.
