Investigating the factors shaping residential energy consumption patterns in France: evidence form quantile regression

Belaid Fateh, Adel Ben Youssef and Nessrine Omrani

Post-Print from HAL

Abstract: This article provides new evidence on various factors that affect residential energy consumption in France. We model the consumption of residential energy in dwellings and apply a bottom-up statistical approach. Our quantile regression model uses an innovative variable selection method via the adaptive elastic net regularization technique. The empirical estimates are based on responses to the PHEBUS survey. The aim is to untangle the effects of dwelling, socio-economic and behavior-related factors on the household energy consumption, for different levels of energy use. Our findings demonstrate that cross- sectional variation in residential energy consumption is a function of the building's technical characteristics and the household's socio-economic attributes and behavior. The analysis suggests that the effect of the household's dwelling, demographic and socioeconomic attributes on its energy consumption differs across quantiles. We propose some measures and empirical methods that allow a deeper understanding of the factors affecting energy use which should be informative for policy making aimed at reducing residential energy demand.

Keywords: Residential energy consumption; Household energy use; Behavior; Energy efficiency; Quantile regression; Adaptive Elastic Net. (search for similar items in EconPapers)
Date: 2020-06-20
References: Add references at CitEc
Citations: View citations in EconPapers (6)

Published in The European Journal of Comparative Economics, 2020, 17 (1), pp.127-151

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
Journal Article: Investigating the factors shaping residential energy consumption patterns in France: evidence form quantile regression (2020)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03053137

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().