Energy Expenditure in Egypt: Empirical Evidence Based on A Quantile Regression Approach

Belaid Fateh and Christophe Rault

No 1446, Working Papers from Economic Research Forum

Abstract: This paper investigates the key factors affecting household energy expenditure in Egypt. Based upon the latest 2015 Egyptian HIECS Survey, we develop a quantile regression model with an innovative variable selection approach via Adaptive Lasso Regularization technique to untangle the spectrum of household energy expenditure. Unsurprisingly, income, age, household size, housing size, and employment status are salient predictors for energy expenditure. Housing characteristics have a moderate impact, while socio-economic attributes have a much larger one. The largest variations in household energy expenditures in Egypt are mainly due to variations in income, household size, and housing type. Our findings document substantial differences in household energy expenditure, originating from the asymmetric tails of the energy expenditure distribution. This outcome highlights the added value of implementing quantile regression methods. Our empirical results have various interesting policy implications regarding residential energy efficiency and carbon emissions reduction in Egypt

Pages: 29
Date: 2020-12-20, Revised 2020-12-20
New Economics Papers: this item is included in nep-ara and nep-ene
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Citations: View citations in EconPapers (1)

Published by The Economic Research Forum (ERF)

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Related works:
Working Paper: Energy Expenditure in Egypt: Empirical Evidence Based on a Quantile Regression Approach (2021)
Working Paper: Energy Expenditure in Egypt: Empirical Evidence Based on a Quantile Regression Approach (2021)
Working Paper: Energy Expenditure in Egypt: Empirical Evidence Based on a Quantile Regression Approach (2021)
Working Paper: Energy Expenditure in Egypt: Empirical Evidence Based on a Quantile Regression Approach (2021)
Working Paper: Energy Expenditure in Egypt: Empirical Evidence Based on a Quantile Regression Approach (2021)
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