Structural Change and Forecasting Long-Run Energy Prices
The authors test the statistical significance of Pindyck’s (1999) suggested class of econometric equations that model the behaviour of long-run real energy prices. The models postulate meanreverting prices with continuous and random changes in their level and trend, and are estimated using Kalman filtering. In such contexts, test statistics are typically non-standard and depend on nuisance parameters. The authors use simulation-based procedures to address this issue; namely, a standard Monte Carlo test and a maximized Monte Carlo test. They find statistically significant instabilities for coal and natural gas prices, but not for crude oil prices. Out-of-sample forecasts are calculated to differentiate between significant models.
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- Robert S. Pindyck, 1999.
"The Long-Run Evolutions of Energy Prices,"
The Energy Journal,
International Association for Energy Economics, vol. 0(Number 2), pages 1-27.
- Saphores, Jean-Daniel & Khalaf, Lynda & Pelletier, Denis, 2000.
"On Jumps and Arch Effects in Natural Resource Prices. An Application to Stumpage Prices from Pacific Northwest National Forests,"
Cahiers de recherche
0003, Université Laval - Département d'économique.
- Saphores, J.D. & Khalaf, L. & Pelletier, D., 2000. "On Jumps and ARCH Effects in Natural Resource Prices. An Application to Stumpage Prices from Pacific Northwest National Forests," Papers 00-03, Laval - Recherche en Energie.
- Saphores, Jean-Daniel & Khalaf, Lynda & Pelletier, Denis, 2000. "On Jumps and ARCH Effects in Natural Resource Prices. An Application to Stumpage Prices from Pacific Northwest National Forests," Cahiers de recherche 0003, GREEN.
- Jean-Marie Dufour & Abdeljelil Farhat & Lucien Gardiol & Lynda Khalaf, 1998.
"Simulation-based finite sample normality tests in linear regressions,"
Royal Economic Society, vol. 1(Conferenc), pages C154-C173.
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- Zellner Arnold, 2002. "My Experiences with Nonlinear Dynamic Models in Economics," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 6(2), pages 1-18, July.
- Hamilton, James D., 2003.
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Journal of Econometrics,
Elsevier, vol. 113(2), pages 363-398, April.
- Robert A. Amano & Simon van Norden, 1995.
"Exchange Rates and Oil Prices,"
- Kim, Chang-Jin & Nelson, Charles R, 1989. "The Time-Varying-Parameter Model for Modeling Changing Conditional Variance: The Case of the Lucas Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 7(4), pages 433-40, October.
- Donald W. K. Andrews, 2000. "Inconsistency of the Bootstrap when a Parameter Is on the Boundary of the Parameter Space," Econometrica, Econometric Society, vol. 68(2), pages 399-406, March.
- Marwan Chacra, 2002. "Oil-Price Shocks and Retail Energy Prices in Canada," Working Papers 02-38, Bank of Canada.
- Hansen, B.E., 1991.
"Inference when a Nuisance Parameter is Not Identified Under the Null Hypothesis,"
RCER Working Papers
296, University of Rochester - Center for Economic Research (RCER).
- Hansen, Bruce E, 1996. "Inference When a Nuisance Parameter Is Not Identified under the Null Hypothesis," Econometrica, Econometric Society, vol. 64(2), pages 413-30, March.
- Jean-Marie Dufour, 1997. "Some Impossibility Theorems in Econometrics with Applications to Structural and Dynamic Models," Econometrica, Econometric Society, vol. 65(6), pages 1365-1388, November.
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