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

Belaid Fateh and Christophe Rault ()

No 8815, CESifo Working Paper Series from CESifo

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.

Keywords: residential energy expenditure; energy efficiency; quantile regression; Adaptive Lasso; Egypt. (search for similar items in EconPapers)
JEL-codes: C11 C21 D12 Q40 (search for similar items in EconPapers)
Date: 2021
New Economics Papers: this item is included in nep-ara and nep-ene
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Working Paper: Energy Expenditure in Egypt: Empirical Evidence Based on a Quantile Regression Approach (2021) Downloads
Working Paper: Energy Expenditure in Egypt: Empirical Evidence Based on A Quantile Regression Approach (2020) Downloads
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