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Open AccessFeature PaperArticle

Drivers of Electricity Poverty in Spanish Dwellings: A Quantile Regression Approach

Department of Applied Economics (Econometrics), Universidad Autónoma de Madrid (UAM), 28049 Madrid, Spain
Author to whom correspondence should be addressed.
Energies 2019, 12(11), 2089;
Received: 29 April 2019 / Revised: 23 May 2019 / Accepted: 28 May 2019 / Published: 31 May 2019
The main objective of this article is to explore the causes of household electricity poverty in Spain from an innovative perspective. Based on evidence of energy inequality across households with different income levels, a quantile regression approach was used to better capture the heterogeneity of determinants of energy poverty across different levels of electricity expenditure. The results illustrate some interesting and counter-intuitive findings about the relationship between household income and electricity poverty, and the technical efficiency of quantile regression compared to the imprecise results of a standard single coefficient/OLS approach. View Full-Text
Keywords: electricity poverty; quantile regression electricity poverty; quantile regression
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de Arce, R.; Mahía, R. Drivers of Electricity Poverty in Spanish Dwellings: A Quantile Regression Approach. Energies 2019, 12, 2089.

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