Price of gasoline: forecasting comparisons. [Box-Jenkins, econometric, and regression methods]
Journal Article
·
· Q. Rev. Econ. Bus.; (United States)
OSTI ID:6352514
Gasoline prices are simulated using three popular forecasting methodologies: A Box--Jenkins type method, an econometric method, and a regression method. One-period-ahead and 18-period-ahead comparisons are made. For the one-period-ahead method, a Box--Jenkins type time-series model simulated best, although all do well. However, for the 18-period simulation, the econometric and regression methods perform substantially better than the Box-Jenkins formulation. A rationale for and implications of these results ae discussed. 11 references.
- OSTI ID:
- 6352514
- Journal Information:
- Q. Rev. Econ. Bus.; (United States), Journal Name: Q. Rev. Econ. Bus.; (United States) Vol. 18:4; ISSN QREBA
- Country of Publication:
- United States
- Language:
- English
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020700 -- Petroleum-- Economics
Industrial
& Business Aspects
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294002 -- Energy Planning & Policy-- Petroleum
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MATHEMATICAL MODELS
PETROLEUM PRODUCTS
SIMULATION