Template-Type: ReDIF-Article 1.0
Author-Name:  Edward C Kokkelenberg 
Author-Name:  Timothy D. Mount
Title:  Oil Shocks and the Demand for Electricity
Classification-JEL: F0
Pages:  113-138
Volume:  Volume 14
Issue:  Number 2
Year:  1993
Abstract:  
This paper uses a Structural Econometric Model - Time Series Analysis to forecast the demand for electricity in the United States. The main innovation is to incorporate price shocks for oil into the model. The results show that if  forecasts had been made with this model in the mid-1970s, they would have predicted the drop in the growth of demand more promptly than did the electric utility industry forecasts. Using current data, forecasts of demand for the year 2000 from the model are higher than industry forecasts, suggesting a reversal of the situation that existed in the 1970s.
Handle: RePEc:aen:journl:1993v14-02-a06
File-URL: http://www.iaee.org/en/publications/ejarticle.aspx?id=1114
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