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

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 adapt...
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Autor*in:	Belaid, Fateh [verfasserIn] BenYoussef, Adel [verfasserIn] Omrani, Nessrine [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Rechteinformationen:	Open Access Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International ; CC BY-NC-ND 4.0

Übergeordnetes Werk:	Enthalten in: European journal of comparative economics - Castellanza : [Verlag nicht ermittelbar], 2004, 17(2020), 1, Seite 127-151
Übergeordnetes Werk:	volume:17 ; year:2020 ; number:1 ; pages:127-151

Links:	Link aufrufen Link aufrufen

DOI / URN:	10.25428/1824-2979/202001-127-151

Katalog-ID:	1727158431

Internformat


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allfields	10.25428/1824-2979/202001-127-151 doi (DE-627)1727158431 (DE-599)KXP1727158431 DE-627 ger DE-627 rda eng C2 D1 Q41 Q48 jelc Belaid, Fateh verfasserin aut Investigating the factors shaping residential energy consumption patterns in France evidence form quantile regression Fateh Belaid, Adel Ben Youssef, Nessrine Omrani 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 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 understandingof the factors affecting energy use which should be informative for policy making aimed at reducing residential energy demand. DE-206 Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International CC BY-NC-ND 4.0 cc https://creativecommons.org/licenses/by-nc-nd/4.0/ BenYoussef, Adel verfasserin (DE-588)171807456 (DE-627)26615297X (DE-576)362097143 aut Omrani, Nessrine verfasserin aut Enthalten in European journal of comparative economics Castellanza : [Verlag nicht ermittelbar], 2004 17(2020), 1, Seite 127-151 Online-Ressource (DE-627)470959843 (DE-600)2166755-X (DE-576)277978572 1824-2979 nnns volume:17 year:2020 number:1 pages:127-151 http://ejce.liuc.it/18242979202001/182429792020170107.pdf Verlag kostenfrei https://doi.org/10.25428/1824-2979/202001-127-151 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_90 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 17 2020 1 127-151 26 01 0206 3740508906 x1z 17-08-20 2403 01 DE-LFER 3757362357 00 --%%-- --%%-- n --%%-- l01 17-09-20 2403 01 DE-LFER https://doi.org/10.25428/1824-2979/202001-127-151 2403 01 DE-LFER http://ejce.liuc.it/18242979202001/182429792020170107.pdf 26 00 DE-206 56 Residential energy consumption 26 00 DE-206 56 Household energy use 26 00 DE-206 56 Behavior 26 00 DE-206 56 Energy efficiency 26 00 DE-206 56 Quantile regression 26 00 DE-206 56 Adaptive elastic net
spelling	10.25428/1824-2979/202001-127-151 doi (DE-627)1727158431 (DE-599)KXP1727158431 DE-627 ger DE-627 rda eng C2 D1 Q41 Q48 jelc Belaid, Fateh verfasserin aut Investigating the factors shaping residential energy consumption patterns in France evidence form quantile regression Fateh Belaid, Adel Ben Youssef, Nessrine Omrani 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 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 understandingof the factors affecting energy use which should be informative for policy making aimed at reducing residential energy demand. DE-206 Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International CC BY-NC-ND 4.0 cc https://creativecommons.org/licenses/by-nc-nd/4.0/ BenYoussef, Adel verfasserin (DE-588)171807456 (DE-627)26615297X (DE-576)362097143 aut Omrani, Nessrine verfasserin aut Enthalten in European journal of comparative economics Castellanza : [Verlag nicht ermittelbar], 2004 17(2020), 1, Seite 127-151 Online-Ressource (DE-627)470959843 (DE-600)2166755-X (DE-576)277978572 1824-2979 nnns volume:17 year:2020 number:1 pages:127-151 http://ejce.liuc.it/18242979202001/182429792020170107.pdf Verlag kostenfrei https://doi.org/10.25428/1824-2979/202001-127-151 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_90 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 17 2020 1 127-151 26 01 0206 3740508906 x1z 17-08-20 2403 01 DE-LFER 3757362357 00 --%%-- --%%-- n --%%-- l01 17-09-20 2403 01 DE-LFER https://doi.org/10.25428/1824-2979/202001-127-151 2403 01 DE-LFER http://ejce.liuc.it/18242979202001/182429792020170107.pdf 26 00 DE-206 56 Residential energy consumption 26 00 DE-206 56 Household energy use 26 00 DE-206 56 Behavior 26 00 DE-206 56 Energy efficiency 26 00 DE-206 56 Quantile regression 26 00 DE-206 56 Adaptive elastic net
allfields_unstemmed	10.25428/1824-2979/202001-127-151 doi (DE-627)1727158431 (DE-599)KXP1727158431 DE-627 ger DE-627 rda eng C2 D1 Q41 Q48 jelc Belaid, Fateh verfasserin aut Investigating the factors shaping residential energy consumption patterns in France evidence form quantile regression Fateh Belaid, Adel Ben Youssef, Nessrine Omrani 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 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 understandingof the factors affecting energy use which should be informative for policy making aimed at reducing residential energy demand. DE-206 Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International CC BY-NC-ND 4.0 cc https://creativecommons.org/licenses/by-nc-nd/4.0/ BenYoussef, Adel verfasserin (DE-588)171807456 (DE-627)26615297X (DE-576)362097143 aut Omrani, Nessrine verfasserin aut Enthalten in European journal of comparative economics Castellanza : [Verlag nicht ermittelbar], 2004 17(2020), 1, Seite 127-151 Online-Ressource (DE-627)470959843 (DE-600)2166755-X (DE-576)277978572 1824-2979 nnns volume:17 year:2020 number:1 pages:127-151 http://ejce.liuc.it/18242979202001/182429792020170107.pdf Verlag kostenfrei https://doi.org/10.25428/1824-2979/202001-127-151 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_90 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 17 2020 1 127-151 26 01 0206 3740508906 x1z 17-08-20 2403 01 DE-LFER 3757362357 00 --%%-- --%%-- n --%%-- l01 17-09-20 2403 01 DE-LFER https://doi.org/10.25428/1824-2979/202001-127-151 2403 01 DE-LFER http://ejce.liuc.it/18242979202001/182429792020170107.pdf 26 00 DE-206 56 Residential energy consumption 26 00 DE-206 56 Household energy use 26 00 DE-206 56 Behavior 26 00 DE-206 56 Energy efficiency 26 00 DE-206 56 Quantile regression 26 00 DE-206 56 Adaptive elastic net
allfieldsGer	10.25428/1824-2979/202001-127-151 doi (DE-627)1727158431 (DE-599)KXP1727158431 DE-627 ger DE-627 rda eng C2 D1 Q41 Q48 jelc Belaid, Fateh verfasserin aut Investigating the factors shaping residential energy consumption patterns in France evidence form quantile regression Fateh Belaid, Adel Ben Youssef, Nessrine Omrani 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 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 understandingof the factors affecting energy use which should be informative for policy making aimed at reducing residential energy demand. DE-206 Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International CC BY-NC-ND 4.0 cc https://creativecommons.org/licenses/by-nc-nd/4.0/ BenYoussef, Adel verfasserin (DE-588)171807456 (DE-627)26615297X (DE-576)362097143 aut Omrani, Nessrine verfasserin aut Enthalten in European journal of comparative economics Castellanza : [Verlag nicht ermittelbar], 2004 17(2020), 1, Seite 127-151 Online-Ressource (DE-627)470959843 (DE-600)2166755-X (DE-576)277978572 1824-2979 nnns volume:17 year:2020 number:1 pages:127-151 http://ejce.liuc.it/18242979202001/182429792020170107.pdf Verlag kostenfrei https://doi.org/10.25428/1824-2979/202001-127-151 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_90 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 17 2020 1 127-151 26 01 0206 3740508906 x1z 17-08-20 2403 01 DE-LFER 3757362357 00 --%%-- --%%-- n --%%-- l01 17-09-20 2403 01 DE-LFER https://doi.org/10.25428/1824-2979/202001-127-151 2403 01 DE-LFER http://ejce.liuc.it/18242979202001/182429792020170107.pdf 26 00 DE-206 56 Residential energy consumption 26 00 DE-206 56 Household energy use 26 00 DE-206 56 Behavior 26 00 DE-206 56 Energy efficiency 26 00 DE-206 56 Quantile regression 26 00 DE-206 56 Adaptive elastic net
allfieldsSound	10.25428/1824-2979/202001-127-151 doi (DE-627)1727158431 (DE-599)KXP1727158431 DE-627 ger DE-627 rda eng C2 D1 Q41 Q48 jelc Belaid, Fateh verfasserin aut Investigating the factors shaping residential energy consumption patterns in France evidence form quantile regression Fateh Belaid, Adel Ben Youssef, Nessrine Omrani 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 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 understandingof the factors affecting energy use which should be informative for policy making aimed at reducing residential energy demand. DE-206 Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International CC BY-NC-ND 4.0 cc https://creativecommons.org/licenses/by-nc-nd/4.0/ BenYoussef, Adel verfasserin (DE-588)171807456 (DE-627)26615297X (DE-576)362097143 aut Omrani, Nessrine verfasserin aut Enthalten in European journal of comparative economics Castellanza : [Verlag nicht ermittelbar], 2004 17(2020), 1, Seite 127-151 Online-Ressource (DE-627)470959843 (DE-600)2166755-X (DE-576)277978572 1824-2979 nnns volume:17 year:2020 number:1 pages:127-151 http://ejce.liuc.it/18242979202001/182429792020170107.pdf Verlag kostenfrei https://doi.org/10.25428/1824-2979/202001-127-151 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_90 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 17 2020 1 127-151 26 01 0206 3740508906 x1z 17-08-20 2403 01 DE-LFER 3757362357 00 --%%-- --%%-- n --%%-- l01 17-09-20 2403 01 DE-LFER https://doi.org/10.25428/1824-2979/202001-127-151 2403 01 DE-LFER http://ejce.liuc.it/18242979202001/182429792020170107.pdf 26 00 DE-206 56 Residential energy consumption 26 00 DE-206 56 Household energy use 26 00 DE-206 56 Behavior 26 00 DE-206 56 Energy efficiency 26 00 DE-206 56 Quantile regression 26 00 DE-206 56 Adaptive elastic net
language	English
source	Enthalten in European journal of comparative economics 17(2020), 1, Seite 127-151 volume:17 year:2020 number:1 pages:127-151
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container_title	European journal of comparative economics
authorswithroles_txt_mv	Belaid, Fateh @@aut@@ BenYoussef, Adel @@aut@@ Omrani, Nessrine @@aut@@
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spellingShingle	Belaid, Fateh jelc C2 26 Residential energy consumption 26 Household energy use 26 Behavior 26 Energy efficiency 26 Quantile regression 26 Adaptive elastic net Investigating the factors shaping residential energy consumption patterns in France evidence form quantile regression
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topic_title	C2 D1 Q41 Q48 jelc 26 00 DE-206 56 Residential energy consumption 26 00 DE-206 56 Household energy use 26 00 DE-206 56 Behavior 26 00 DE-206 56 Energy efficiency 26 00 DE-206 56 Quantile regression 26 00 DE-206 56 Adaptive elastic net Investigating the factors shaping residential energy consumption patterns in France evidence form quantile regression Fateh Belaid, Adel Ben Youssef, Nessrine Omrani
topic	jelc C2 26 Residential energy consumption 26 Household energy use 26 Behavior 26 Energy efficiency 26 Quantile regression 26 Adaptive elastic net
topic_unstemmed	jelc C2 26 Residential energy consumption 26 Household energy use 26 Behavior 26 Energy efficiency 26 Quantile regression 26 Adaptive elastic net
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title_full	Investigating the factors shaping residential energy consumption patterns in France evidence form quantile regression Fateh Belaid, Adel Ben Youssef, Nessrine Omrani
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title_sort	investigating the factors shaping residential energy consumption patterns in franceevidence form quantile regression
title_auth	Investigating the factors shaping residential energy consumption patterns in France evidence form quantile regression
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 understandingof the factors affecting energy use which should be informative for policy making aimed at reducing residential energy demand.
abstractGer	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 understandingof the factors affecting energy use which should be informative for policy making aimed at reducing residential energy demand.
abstract_unstemmed	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 understandingof the factors affecting energy use which should be informative for policy making aimed at reducing residential energy demand.
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title_short	Investigating the factors shaping residential energy consumption patterns in France
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Investigating the factors shaping residential energy consumption patterns in France : evidence form quantile regression

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