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Residential Electricity Demand: A Suggested Appliance Stock Equation

Christopher Garbacz

Year: 1984
Volume: Volume 5
Number: Number 2
DOI: 10.5547/ISSN0195-6574-EJ-Vol5-No2-11
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Abstract:
A large amount of work in residential electricity demand has relied on logit estimation of a disaggregated appliance stock. (See the seminal work by McFadden et al., 1977.) While this approach may be suitable for certain types of models with certain goals in mind, a simple formulation of an appliance stock equation may sometimes be appropriate. For example, if the goal is to estimate seasonal patterns in elasticities employing a national micro-data set (as in the National Interim Energy Consumption Survey 1978-1979; see U.S. Department of Energy, 1980), then it may be appropriate to develop an appliance stock equation to predict the size of an appliance stock index (approximating a continuous variable). The present appliance stock equation is part of a three-equation model that is estimated in log-linear form via 2SLS.



Seasonal and Regional Residential Electricity Demand

Christopher Garbacz

Year: 1986
Volume: Volume 7
Number: Number 2
DOI: 10.5547/ISSN0195-6574-EJ-Vol7-No2-9
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Abstract:
Following the seminal work of McFadden. Puig, and Kirschner (1977) and the general availability of national microdata sets, residential energy demand studies have been conducted for electricity, natural gas, fuel oil. LP gas, and wood (see Garbacz, 1984, 1985). Using 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 using two-stage least squares (2SLS) for house-holds by month. This study builds on the previous work to estimate elasticities by month and by region. It is hypothesized that elasticities vary substantially between the heating and cooling seasons. Previous work by Acton, Mitchell, and Sohiberg (1980); Parti and Parti (1980); Archibald, Finifter, and Moody (1982); Murray et al. (1978); and Garbacz (1984) supports this. Houthakker (1980), Halvorsen (1978), and Murray et al. (1978) also have found differences in elasticities by region.



Gasoline, Diesel and Motorfuel Demand in Taiwan

Christopher Garbacz

Year: 1989
Volume: Volume 10
Number: Number 2
DOI: 10.5547/ISSN0195-6574-EJ-Vol10-No2-10
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Abstract:
The logarithmic flow models generate elasticity estimates for prices that generally exceed estimates of recent studies both for the short run and the long run. This holds true over gasoline, diesel, and total motorfuel models. The linear gasoline results for price elasticity are in the range of previous estimates. In the logarithmic stock flow models, estimates of gasoline price elasticity exceed both short- and long-run estimates of previous studies. The liner stock flow model generates a price elasticity that is no different than zero (statistically) and an income elasticity that appears to be large in the short-ran.





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