Abstract:This paper demonstrates the importance of capturing the influence of non‐economic factors such as changes in economic structure and life style in estimating energy demand functions for transportation fuels. Using annual time series data for South Korea and Indonesia from 1971 to 2016 in an Unrestricted Error Correction Model, the paper estimates the energy demand functions for transportation fuels as well as the growth of the underlying demand trend (which captured the effects of non‐economic factors). The est… Show more
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