Drivers of Electricity Poverty in Spanish Dwellings: A Quantile Regression Approach
Rafael de Arce () and
Ramón Mahía ()
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Ramón Mahía: Department of Applied Economics (Econometrics), Universidad Autónoma de Madrid (UAM), 28049 Madrid, Spain
Energies, 2019, vol. 12, issue 11, 1-18
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 (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:12:y:2019:i:11:p:2089-:d:236154
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