Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/232763 
Year of Publication: 
2021
Series/Report no.: 
IZA Discussion Papers No. 14011
Publisher: 
Institute of Labor Economics (IZA), Bonn
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.
Subjects: 
residential energy expenditure
energy efficiency
quantile regression
adaptive lasso
Egypt
JEL: 
C11
C21
D12
Q4
Document Type: 
Working Paper

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