Abstract

A maximum likelihood estimation procedure is applied to a simple adaptive expectations model of historically based long-term energy price forecasting to evaluate the appropriate weighting of current prices. Maximum likelihood estimates for five- and ten-year forecasts are produced, along with corresponding one-standard-deviation dispersions, and compared with both the ordinary least squares estimates prepared by Manne and Schrattenholzer (1986b) and the 1985 IEW Poll responses. Disagreement across poll respondents seems to understate the uncertainty reflected in efficient forecasts derived from historical price data. The averages of the poll responses are, in addition, higher than the corresponding likelihood estimates.

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