Working Paper Article Version 2 This version is not peer-reviewed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)

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.

Journal reference: Energies 2019, 12, 2089
DOI: 10.3390/en12112089

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.

Subject Areas

electricity poverty; quantile regression

Comments (1)

Comment 1
Received: 18 September 2020
Commenter: Rafael De Arce
Commenter's Conflict of Interests: Author
Comment: The article was finally published in Energies. Now, we are sending the final version.
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