Abstract
Following the seminal work of McFadden, Puig and Kirschner (1977) and the general availability of national micro-data sets, residential energy demand studies have been conducted for electricity, natural gas, fuel oil, liquid petroleum gas and wood (see Garbacz, 1984, 1985). Employing the National Interim Energy Consumption Survey (NIECS) data, Garbacz (1984) developed a three-equation model (demand, price and appliance stock) to estimate national electricity demand via two-stages least squares for households by month. The study reported in this chapter builds on this previous work to estimate elasticities by month. It is hypothesised that elasticities vary substantially between the heating and cooling seasons. Previous work by Acton, Mitchell and Sohlberg (1980), Parti and Parti (1980), Archibald, Finifter and Moody (1982), Murray et al. (1978) and Garbacz (1984) supports this hypothesis.
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References
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© 1987 Michael A. Crew
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Garbacz, C. (1987). Residential Electricity Demand Modelling with Secret Data. In: Crew, M.A. (eds) Regulating Utilities in an Era of Deregulation. Palgrave Macmillan, London. https://doi.org/10.1007/978-1-349-08714-3_9
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DOI: https://doi.org/10.1007/978-1-349-08714-3_9
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