Abstract
Identifying the stochastic processes governing energy prices is relevant for both energy policymakers and private energy actors. On the one hand, producers have to run energy price forecasts in order to motivate investment decisions related to resource exploration or reserve development. On the other hand, policymakers need to assess the future trends that energy prices may follow in order to adjust the timing of their energy policies. Indeed, the consequences of the oil price shock in terms of economic growth have highlighted the impact of energy price fluctuations.
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References
Banerjee, A., Lumsdaine, R.L. and Stock, J.H. (1992) ‘Recursive and sequential tests of the unit-root and trend-break hypothesis: theory and international evidence’, Journal of Business and Economic Statistics, vol. 10, pp. 271–87.
BP Statistical Review of World Energy (June 2004).
Chow, G. (1960) ‘Tests of equality between sets of coefficients in two linear regressions’, Econometrica, vol. 28, pp. 591–605.
Christiano, L.J. (1992) ‘Searching for a break in GNP’, Journal of Business and Economics Statistics, vol. 10, pp. 237–50.
Geman, H. (2005) Commodities and Commodity derivatives. Modeling and Pricing for Agricultural, Metals and Energy. Wiley Lasa.
Greene, W.H. (2003) Econometrics Analysis, 5th edn (Englewood Cliffs, NJ: Prentice-Hall).
Hamilton, J.D. (1994) Times Series Analysis, Princeton, NJ: (Princeton University Press).
Hodrick, R.J. and Prescott, E.C. (1997) ‘Postwar US Business Cycles: An Empirical Investigation’, Journal of Money, Credit, and Banking, vol. 29, pp. 1–16.
Hotelling, H. (1931) ‘The economics of exhaustible resources’, Journal of Political Economy, vol. 39.
Nelson, C.R. and Plosser, C.I. (1982) ‘Trends and random walks in macroeconomics time series’, Journal of Monetary Economics, vol. 10, pp. 139–62.
Penon, P. (1989) ‘The great crash, the oil price shock, and the unit root hypothesis’, Econometrica, vol. 57, pp. 1361–401.
Penon, P. (1990) ‘Testing for a unit root in a time series with a changing mean’, Journal of Business and Economics Statistics, vol. 8, pp. 153–62.
Geman, H. and Nguyen, V.N. (2005) ‘Soybean Inventory and Forward Curves Dynamics’ Management Science, vol. 51, issue 7.
Penon, P. (1994) ‘Trend, unit root and structural change in macroeconomic time series’, in Rao, B.B. (ed.) Cointegration for the Applied Economist (Basingstoke: Macmillan), pp. 113–46.
Pindyck, R.S. (1999) ‘The long-run evolution of energy prices’, Energy Journal, vol. 20, pp. 1–27.
Vasicek, O. (1977) ‘An equilibrium characterization of the term structure’, Journal of Financial Economics, vol. 5(3), pp. 177–88.
Zivot, E. and Andrews, W.K. (1992) ‘Further evidence on the great crash, the oil-price shock, and the unit root hypothesis’, Journal of Business and Economics Statistics, vol. 10, pp. 251–70.
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© 2007 Sophie Chardon
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Chardon, S. (2007). The Price of Oil over the Very Long Term. In: Keppler, J.H., Bourbonnais, R., Girod, J. (eds) The Econometrics of Energy Systems. Palgrave Macmillan, London. https://doi.org/10.1057/9780230626317_10
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DOI: https://doi.org/10.1057/9780230626317_10
Publisher Name: Palgrave Macmillan, London
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