Version 1
: Received: 29 April 2019 / Approved: 30 April 2019 / Online: 30 April 2019 (11:56:31 CEST)
Version 2
: Received: 15 September 2020 / Approved: 18 September 2020 / Online: 18 September 2020 (09:40:45 CEST)
de Arce, R.; Mahía, R. Drivers of Electricity Poverty in Spanish Dwellings: A Quantile Regression Approach. Energies2019, 12, 2089.
de Arce, R.; Mahía, R. Drivers of Electricity Poverty in Spanish Dwellings: A Quantile Regression Approach. Energies 2019, 12, 2089.
de Arce, R.; Mahía, R. Drivers of Electricity Poverty in Spanish Dwellings: A Quantile Regression Approach. Energies2019, 12, 2089.
de Arce, R.; Mahía, R. Drivers of Electricity Poverty in Spanish Dwellings: A Quantile Regression Approach. Energies 2019, 12, 2089.
Abstract
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.
Keywords
electricity poverty; quantile regression
Subject
SOCIAL SCIENCES, Economics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Commenter: Rafael De Arce
Commenter's Conflict of Interests: Author