Price of gasoline: forecasting comparisons. [Box-Jenkins, econometric, and regression methods]

Journal Article · · Q. Rev. Econ. Bus.; (United States)

OSTI ID:6352514

Bopp, A E; Neri, J A

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), Vol. 18:4
• Country of Publication: United States
• Language: English

Related Subjects

29 ENERGY PLANNING
POLICY AND ECONOMY
02 PETROLEUM
CHARGES
FORECASTING
GASOLINE
ECONOMETRICS
MATHEMATICAL MODELS
SIMULATION
ECONOMICS
FUELS
PETROLEUM PRODUCTS
292000* - Energy Planning & Policy- Supply
Demand & Forecasting
290200 - Energy Planning & Policy- Economics & Sociology
294002 - Energy Planning & Policy- Petroleum
020700 - Petroleum- Economics
Industrial
& Business Aspects