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Insights from a Simple Hotelling Model of the World Oil Market

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Abstract

This paper uses annual data on world oil price and consumption from 1965 to 2006 to calibrate a Hotelling model of optimal nonrenewable resource extraction. Numerical solutions are generated for various specifications of the elasticity of demand for both isoelastic demand and linear demand under each of two possible market structures: perfect competition and monopoly. Prior to the 1973 oil crisis, the model that best fits actual data is one of perfect competition with linear demand and a demand elasticity of −0.4. For the periods 1973–1981 and 1981–1990, the model that best fits actual data is one of monopoly with linear demand and demand elasticities of −0.8 and −0.7, respectively, suggesting that the market was strongly influenced by OPEC during this time. Under the model that best fits the most recent period (perfect competition with linear demand and demand elasticity −0.5), the real oil price (in 1982–1984 U.S.$) should fall in the range $60.87–$66.31/barrel over the years 2010–2030.

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Notes

  1. Pindyck also compares the optimal and actual values to the myopic values that would occur if future depletion was ignored but the reserve-production ratio was maintained at its optimal level.

  2. I assume that, at any given time t, all the oil extracted at time t is sold on the market at time t.

  3. Much work has also been done in an attempt to measure the shadow price of the resource (see, e.g., Devarajan and Fisher, 1982; Halvorsen and Smith, 1984; Lasserre, 1985).

  4. Any common access problems that may arise in perfect competition are ignored. In other words, I assume, as does Pindyck (1978), that there is a large number of identical firms that all ignore each other, or, equivalently, that a social planner or a state-owned company has sole production rights and sets a competitive price.

  5. This holds because, assuming constant marginal utility of income:

    $$P(t)=\frac{\partial U(E(t))}{\partial E},$$

    so that the first-order conditions for the social planner’s problem are the same as those that arise in perfect competition.

  6. If then per-period net benefit function G(X, E) is concave in both X and E, then, since the control set \(\{E\mid E\,\geq\,0\}\) is convex, the first-order conditions are both necessary and sufficient for an optimum (Weitzman, 2003).

  7. A U.S. deflator rather than a world deflator is used because the original nominal time series was in current U.S. dollars.

  8. Because my data are in terms of barrels rather than mmBtu, these parameters are converted using the conversion factor: 5.8004 mmBtu = 1 barrel (USGS, 2004).

  9. The fixed cost to extraction c 0 is assumed to be constant with respect to the stock. As a consequence, the magnitude of the fixed costs to extraction does not affect the solution to the optimal control problem.

  10. I also run simulations in which I instead pin down the initial price P(0) to equal to actual real-world oil price at time t. Since the first year of price data in my data set in 1965, for these simulations t = 0 corresponds to 1965, when the real-world oil price was $4.51/barrel. However, because pinning down the initial price rather than initial stock often leads to solutions with negative stocks, and because the qualitative features of the results are robust to the type of initial condition chosen, the results of the simulations in which an initial condition was imposed on price are not reported here.

  11. As a robustness check, a base year of 1990 was also used, and the qualitative results were unchanged.

  12. No solution exists for monopoly under linear demand when demand is perfectly inelastic.

  13. Graphs for all scenarios using data from 1965 to 2001 are presented in Lin (2005).

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Acknowledgments

I thank Gary Chamberlain, Jon Conrad, William Hogan, Nancy Stokey, George Richardson, James Smith, Howard Stone, and Martin Weitzman for helpful comments and discussions. The time series data used in this study were acquired with the help of Brian Greene and with funds from the Littauer Library at Harvard University. I received financial support from an EPA Science to Achieve Results graduate fellowship, a National Science Foundation graduate research fellowship, and a Repsol YPF—Harvard Kennedy School Pre-Doctoral Fellowship in energy policy. All errors are my own.

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Correspondence to C.-Y. Cynthia Lin.

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Lin, CY.C. Insights from a Simple Hotelling Model of the World Oil Market. Nat Resour Res 18, 19–28 (2009). https://doi.org/10.1007/s11053-008-9085-6

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