Drivers of Electricity Poverty in Spanish Dwellings. A Quantile Regression Approach

Rafael de Arce; Ramon Mahia

Working Paper Article Version 1 This version is not peer-reviewed

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)

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.

electricity poverty; quantile regression; poverty policy

Business, Economics and Management, Economics

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Drivers of Electricity Poverty in Spanish Dwellings. A Quantile Regression Approach

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