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Oil Production in the Lower 48 States: Economic, Geological, and Institutional Determinants

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  • Robert K. Kaufmann
  • Cutler J. Cleveland

Abstract

In this paper, we establish an empirical model for oil production in the lower 48 states that represents its economic, physical, and institutional determinants. We estimate a vector error correction model for oil production in the lower 48 states that specifies real oil prices, average production costs, and prorationing by the Texas Railroad Commission. These modifications enable us to generate a model that accounts for most of the variation in oil production in the lower 48 states between 1938 and 1991. The result that oil production in the lower 48 states shares stochastic trends with real oil prices, average production costs, and prorationing indicates that accuracy of Hubbert's bell shaped curve is fortuitous. The importance of these factors also indicates why the basic Hotelling model cannot replicate the production path for oil in the lower 48 states. This inability is critical. The negative economic effects associated with high prices and energy shortages imply that the importance of inconsistencies with the basic Hotelling model identified by this analysis may be sufficient to warrant a greater degree of government intervention in the transition from oil than is currently envisioned by most policy makers.

Suggested Citation

  • Robert K. Kaufmann & Cutler J. Cleveland, 2001. "Oil Production in the Lower 48 States: Economic, Geological, and Institutional Determinants," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 27-49.
    • Handle: RePEc:aen:journl:2001v22-01-a02
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    1. Kim, Kiwhan & Schmidt, Peter, 1990. "Some evidence on the accuracy of Phillips-Perron tests using alternative estimates of nuisance parameters," Economics Letters, Elsevier, vol. 34(4), pages 345-350, December.
    2. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    3. Rudolf Wolffram, 1971. "Positivistic Measures of Aggregate Supply Elasticities: Some New Approaches—Some Critical Notes," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 53(2), pages 356-359.
    4. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    5. Johansen, Soren & Juselius, Katarina, 1994. "Identification of the long-run and the short-run structure an application to the ISLM model," Journal of Econometrics, Elsevier, vol. 63(1), pages 7-36, July.
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