Drivers of electricity poverty in Spanish dwellings: A quantile regression approach
Entity
UAM. Departamento de Economía AplicadaPublisher
MDPI, Basel, Switzerland.Date
2019-05-31Citation
10.3390/en12112089
Energies 12 (2019): 2089
ISSN
1996-1073DOI
10.3390/en12112089Editor's Version
https://doi.org/10.3390/en12112089Subjects
Electricity poverty; Quantile regression; InformáticaRights
© 2019 by the authorsAbstract
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.
Files in this item
Google Scholar:Arce Borda, Rafael de
-
Mahía Casado, Ramón
This item appears in the following Collection(s)
Related items
Showing items related by title, author, creator and subject.