Article
Version 1
This version is not peer-reviewed
Drivers of Electricity Poverty in Spanish Dwellings. A Quantile Regression Approach
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)
Version 2 : Received: 15 September 2020 / Approved: 18 September 2020 / Online: 18 September 2020 (09:40:45 CEST)
A peer-reviewed article of this Preprint also exists.
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. 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 evidences of energy inequality across households with different income levels, a quantile regression approach is used to better capture the heterogeneity of determinants of energy poverty across different levels of electricity expenditure. Results illustrate some interesting and counter intuitive findings about the relationship between household income and electricity poverty and the technical sufficiency of quantile regression compared to the blurred results of a standard single coefficient / OLS approach.
Keywords
electricity poverty; quantile regression; poverty policy
Subject
Business, Economics and Management, 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.
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