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https://dx.doi.org/10.21256/zh...
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Estimating residential electricity demand: New empirical evidence

Authors: Nina Boogen; Nina Boogen; Massimo Filippini; Massimo Filippini; Souvik Datta;

Estimating residential electricity demand: New empirical evidence

Abstract

In this paper, we estimate the price elasticity of residential electricity consumption in Switzerland using a unique longitudinal household survey of around 5000 households. The survey contains information on a household's stock of appliances, use of appliances, and various socio-demographic characteristics. Our empirical model is derived from a variant of household production theory that posits electricity demand as being a derived demand for energy services. Based on this, we extend our basic model by using information on energy services, e.g. the amount of washing and the amount of cooking. We also use an instrumental variables approach to obtain consistent estimates of the price elasticity to account for potential endogeneity concerns with the average price. Our results indicate that the short-to medium-run price elasticity is around −0.7. This implies that policy makers concerned about reducing electricity consumption can use pricing policy, with a combination of other policies, to effectively reduce or, at least, stabilise electricity consumption in Switzerland.

Energy Policy, 158

ISSN:0301-4215

Countries
Switzerland, Switzerland
Keywords

Energy services, Correlated random effects, 333.79: Energie, Instrumental variables, Residential electricity; Energy services; Instrumental variables; Correlated random effects; Switzerland, Switzerland, Residential electricity

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Average
Top 10%
Green
hybrid
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