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

Author

Listed:
  • Fateh Bélaïd

    (UCL - Université catholique de Lille)

  • Christophe Rault

    (LEO - Laboratoire d'Économie d'Orleans [2021-2022] - UO - Université d'Orléans - UT - Université de Tours, IZA - Forschungsinstitut zur Zukunft der Arbeit - Institute of Labor Economics, CESifo - LMU - Ludwig Maximilian University [Munich] = Ludwig Maximilians Universität München)

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
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Fateh Bélaïd & Christophe Rault, 2021. "Energy Expenditure in Egypt: Empirical Evidence Based on a Quantile Regression Approach," Post-Print hal-03529106, HAL.
    • Handle: RePEc:hal:journl:hal-03529106
    DOI: 10.2139/ssrn.3767687
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    Cited by:

    1. An, Xiaoxu & Dang, Niu & Zhang, Fazi & Li, Yinan & Xie, Yongshun & Wang, Qiang, 2025. "Decoding the synergies of sustainable development goals in household energy transitions: A global knowledge network analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 224(C).
    2. Fateh Belaïd & Christophe Rault & Camille Massié, 2022. "A life-cycle theory analysis of French household electricity demand," Journal of Evolutionary Economics, Springer, vol. 32(2), pages 501-530, April.
    3. Poggiese Milena & Ibáñez Martín Maria & London Maria Silvia, 2025. "Cuál es el perfil de los hogares en condicion de pobreza energética? Un análisis de regresión por cuantiles," Asociación Argentina de Economía Política: Working Papers 4828, Asociación Argentina de Economía Política.
    4. Kesriklioğlu, Esma & Oktay, Erkan & Karaaslan, Abdulkerim, 2023. "Predicting total household energy expenditures using ensemble learning methods," Energy, Elsevier, vol. 276(C).
    5. Yarbaşı, İkram Yusuf & Çelik, Ali Kemal, 2023. "The determinants of household electricity demand in Turkey: An implementation of the Heckman Sample Selection model," Energy, Elsevier, vol. 283(C).
    6. BELAÏD, Fateh & Elsayed, Ahmed H. & Omri, Anis, 2021. "Key drivers of renewable energy deployment in the MENA Region: Empirical evidence using panel quantile regression," Structural Change and Economic Dynamics, Elsevier, vol. 57(C), pages 225-238.
    7. Belaïd, Fateh & Flambard, Véronique, 2023. "Impacts of income poverty and high housing costs on fuel poverty in Egypt: An empirical modeling approach," Energy Policy, Elsevier, vol. 175(C).
    8. Taneja, Shivani & Mandys, Filip, 2022. "Drivers of UK household energy expenditure: Promoting efficiency and curbing emissions," Energy Policy, Elsevier, vol. 167(C).
    9. Pradeep Perera & Tapan Sarker & Fateh Bélaïd & Farhad Taghizadeh Hesary & K. Nazmul Islam, 2021. "How Precious Is the Reliability of the Residential Electricity Service in Developing Economies? Evidence from India," Post-Print hal-04542720, HAL.
    10. Ryszard Kowalski & Agnieszka Strzelecka & Agnieszka Wałęga & Grzegorz Wałęga, 2023. "Do Children Matter to the Household Debt Burden?," Journal of Family and Economic Issues, Springer, vol. 44(4), pages 1007-1022, December.
    11. Javier Aliaga Lordemann & María Cecilia Lenis Abastoflor & Louis Schöder, 2024. "Patrones de Consumo Energético en Productores de Quinua del Altiplano Sur de Bolivia," Development Research Working Paper Series 12/2024, Institute for Advanced Development Studies.

    More about this item

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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