Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/232412 
Erscheinungsjahr: 
2021
Schriftenreihe/Nr.: 
CESifo Working Paper No. 8815
Verlag: 
Center for Economic Studies and Ifo Institute (CESifo), Munich
Zusammenfassung: 
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.
Schlagwörter: 
residential energy expenditure
energy efficiency
quantile regression
Adaptive Lasso
Egypt.
JEL: 
C11
C21
D12
Q40
Dokumentart: 
Working Paper
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