Residential electricity demand in Spain: New empirical evidence using aggregate data
By Leticia Blázquez, N. Boogen, Massimo Filippini. 2013
212 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/d74f3e759a99793c5fab2962713f837285816510
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
In Renewable Energy, Sustainability and the Environment
Citations in the corpus
- The socio-economic, dwelling and appliance related factors affecting electricity consumption in domestic buildings (2015, background): “[3] undertook an empirical analysis of residential electricity demand in 47 Spanish provinces for the period 2000 to 2008.”
- Sensitivity of Price Elasticity of Demand to Aggregation, Unobserved Heterogeneity, Price Trends, and Price Endogeneity: Evidence from U.S. Data (2016, unknown): “In more recent studies, the price elasticity of electricity consumption ranges from as low as -0.06 (Blazquez et al., 2013) to as high as -1.25 (Krishnamurthy and Kriström, 2013).”
- Renewable electricity and sustainable development goals in the EU (2020, background): “However, this effect is expected to be small, since the consumers’ response to electricity price is generally limited (Eskeland and Mideksa, 2010; Blazquez et al., 2013).”
- Determinants of high electrical energy demand in UK homes: Socio-economic and dwelling characteristics (2015, unknown): “[47]) or bottom-up approach (e.”
- The Long-Run Dynamics of Electricity Demand: Evidence from Municipal Aggregation (2020, background): “…that consumers begin adjusting their electricity usage prior to realized price changes, suggesting that the myopic “partial adjustment” model typically estimated in the energy literature (Hughes et al., 2008; Alberini and Filippini, 2011; Blázquez et al., 2013) could be systematically biased.”