Preprint Article Version 1 This version is not peer-reviewed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)

How to cite: de Arce, R.; Mahia, R. Drivers of Electricity Poverty in Spanish Dwellings. A Quantile Regression Approach. Preprints 2019, 2019040337 de Arce, R.; Mahia, R. Drivers of Electricity Poverty in Spanish Dwellings. A Quantile Regression Approach. Preprints 2019, 2019040337

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.

Subject Areas

electricity poverty; quantile regression; poverty policy

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