{"id":112540,"date":"2024-01-22T17:38:54","date_gmt":"2024-01-22T16:38:54","guid":{"rendered":"https:\/\/www.wifo.ac.at\/publication\/112540\/"},"modified":"2024-11-07T04:05:31","modified_gmt":"2024-11-07T03:05:31","slug":"the-impact-of-technological-change-and-lifestyles-on-the-energy-demand-of-households-a-combination-of-aggregate-and-individual-household-analysis","status":"publish","type":"publication","link":"https:\/\/www.wifo.ac.at\/en\/publication\/112540\/","title":{"rendered":"The Impact of Technological Change and Lifestyles on the Energy Demand of Households. A Combination of Aggregate and Individual Household Analysis"},"content":{"rendered":"","protected":false},"featured_media":0,"template":"","class_list":["post-112540","publication","type-publication","status-publish","hentry"],"acf":{"subtitle":"","text":"This paper deals with integrating technology as well as lifestyles as driving forces of energy demand into a model of total private consumption. Private consumption is determined by economic variables like income and prices as well as these other factors. Technology is represented by variables measuring the efficiency of households' capital stocks and lifestyles by socio-demographic variables. Data for both types of variables are available in cross section consumer surveys and in time series data of aggregate consumption. The cross section surveys provide information on income and socio-demographic factors relevant for energy demand (characteristics of building and population density). The time series data contain information on prices and income as well as the energy efficiency embodied in household appliances. The final model of consumption consists of a consistent combination of both time series and cross section information into one comprehensive econometric model. This model describes demand for energy and non-energy commodities in an almost ideal demand system (AIDS) and is used in ex-post simulation exercises to isolate the impact of technological and socio-demographic variables on the demand for gasoline\/diesel, heating and electricity.","onlinedate":"2009-02-18 01:00:00","lang":"English","publication_series":"","publication_date":"20090201","publication_date_year":"","publication_date_full":false,"publication_num_pages":"27","keywords":"[\"efficiency of appliances\",\"household energy demand\",\"lifestyles\",\"rebound effects\"]","jelcodes":"[]","related_publications":"[]","pdf":332993,"zip":null,"link":"","monthly_report":true,"monthly_report_main":false,"monthly_report_volume":"","monthly_report_pages":"","monthly_report_pages_sort":"0","issue":"334","journal":"WIFO Working Papers","publisher":"","invisible":false,"external":false,"embargo_date":null,"types":[44410],"research_groups":[3655,3500],"collaboration":"","persons":[3675,3711,3995],"persons_data":"[{\"personId\":3675,\"personName\":\"Kurt Kratena\",\"organisationNames\":[]},{\"personId\":3711,\"personName\":\"Ina Meyer\",\"organisationNames\":[]},{\"personId\":3995,\"personName\":\"Michael W\u00fcger\",\"organisationNames\":[]}]","clients":[],"subclients":[],"partners":[],"topics":[],"host_publication_title":"","host_publication_subtitle":"","place_of_publication":"","host_publication_editors":"[]","type_description":"","output_media":"","chapter":"","article_number":"","citations":"{\"apa\":\"<div class=\\\"rendering rendering_researchoutput  rendering_researchoutput_apa rendering_contributiontoperiodical rendering_apa rendering_contributiontoperiodical_apa\\\"><span>Kratena, K.<\\\/span><span>, Meyer, I.<\\\/span><span>, &amp; W\u00fcger, M.<\\\/span> (2009). <span>The Impact of Technological Change and Lifestyles on the Energy Demand of Households. A Combination of Aggregate and Individual Household Analysis<\\\/span>. <span><em>WIFO Working Papers<\\\/em><\\\/span>, (334). <a onclick=\\\"window.open(this.href, '_blank','noopener,noreferrer'); return false;\\\" href=\\\"https:\\\/\\\/www.wifo.ac.at\\\/wwa\\\/pubid\\\/35120\\\" class=\\\"link\\\"><span>https:\\\/\\\/www.wifo.ac.at\\\/wwa\\\/pubid\\\/35120<\\\/span><\\\/a><\\\/div>\",\"vancouver\":\"<div class=\\\"rendering rendering_researchoutput  rendering_researchoutput_vancouver rendering_contributiontoperiodical rendering_vancouver rendering_contributiontoperiodical_vancouver\\\"><span>Kratena K<\\\/span><span>, Meyer I<\\\/span><span>, W\u00fcger M<\\\/span>. <span class=\\\"title\\\"><span>The Impact of Technological Change and Lifestyles on the Energy Demand of Households. A Combination of Aggregate and Individual Household Analysis<\\\/span><\\\/span>. <span>WIFO Working Papers<\\\/span>. 2009 Feb;(334).<\\\/div>\",\"bibtex\":\"<div class=\\\"rendering rendering_researchoutput  rendering_researchoutput_bibtex rendering_contributiontoperiodical rendering_bibtex rendering_contributiontoperiodical_bibtex\\\"><div>@misc{c120433a2ff44c0a818a531bf87871cd,<\\\/div><div>  title    = \\\"The Impact of Technological Change and Lifestyles on the Energy Demand of Households. A Combination of Aggregate and Individual Household Analysis\\\",<\\\/div><div>  abstract = \\\"This paper deals with integrating technology as well as lifestyles as driving forces of energy demand into a model of total private consumption. Private consumption is determined by economic variables like income and prices as well as these other factors. Technology is represented by variables measuring the efficiency of households' capital stocks and lifestyles by socio-demographic variables. Data for both types of variables are available in cross section consumer surveys and in time series data of aggregate consumption. The cross section surveys provide information on income and socio-demographic factors relevant for energy demand (characteristics of building and population density). The time series data contain information on prices and income as well as the energy efficiency embodied in household appliances. The final model of consumption consists of a consistent combination of both time series and cross section information into one comprehensive econometric model. This model describes demand for energy and non-energy commodities in an almost ideal demand system (AIDS) and is used in ex-post simulation exercises to isolate the impact of technological and socio-demographic variables on the demand for gasoline\\\/diesel, heating and electricity.\\\",<\\\/div><div>  keywords = \\\"efficiency of appliances, household energy demand, lifestyles, rebound effects, efficiency of appliances, household energy demand, lifestyles, rebound effects\\\",<\\\/div><div>  author   = \\\"Kurt Kratena and Ina Meyer and Michael W{\\\\\\\"u}ger\\\",<\\\/div><div>  year     = \\\"2009\\\",<\\\/div><div>  month    = feb,<\\\/div><div>  language = \\\"English\\\",<\\\/div><div>  journal  = \\\"WIFO Working Papers\\\",<\\\/div><p>}<\\\/p><\\\/div>\",\"ris\":\"<div class=\\\"rendering rendering_researchoutput  rendering_researchoutput_ris rendering_contributiontoperiodical rendering_ris rendering_contributiontoperiodical_ris\\\"><p>TY  - GEN<\\\/p><p>T1  - The Impact of Technological Change and Lifestyles on the Energy Demand of Households. A Combination of Aggregate and Individual Household Analysis<\\\/p><p>AU  - Kratena, Kurt<\\\/p><p>AU  - Meyer, Ina<\\\/p><p>AU  - W\u00fcger, Michael<\\\/p><p>PY  - 2009\\\/2<\\\/p><p>Y1  - 2009\\\/2<\\\/p><p>N2  - This paper deals with integrating technology as well as lifestyles as driving forces of energy demand into a model of total private consumption. Private consumption is determined by economic variables like income and prices as well as these other factors. Technology is represented by variables measuring the efficiency of households' capital stocks and lifestyles by socio-demographic variables. Data for both types of variables are available in cross section consumer surveys and in time series data of aggregate consumption. The cross section surveys provide information on income and socio-demographic factors relevant for energy demand (characteristics of building and population density). The time series data contain information on prices and income as well as the energy efficiency embodied in household appliances. The final model of consumption consists of a consistent combination of both time series and cross section information into one comprehensive econometric model. This model describes demand for energy and non-energy commodities in an almost ideal demand system (AIDS) and is used in ex-post simulation exercises to isolate the impact of technological and socio-demographic variables on the demand for gasoline\\\/diesel, heating and electricity.<\\\/p><p>AB  - This paper deals with integrating technology as well as lifestyles as driving forces of energy demand into a model of total private consumption. Private consumption is determined by economic variables like income and prices as well as these other factors. Technology is represented by variables measuring the efficiency of households' capital stocks and lifestyles by socio-demographic variables. Data for both types of variables are available in cross section consumer surveys and in time series data of aggregate consumption. The cross section surveys provide information on income and socio-demographic factors relevant for energy demand (characteristics of building and population density). The time series data contain information on prices and income as well as the energy efficiency embodied in household appliances. The final model of consumption consists of a consistent combination of both time series and cross section information into one comprehensive econometric model. This model describes demand for energy and non-energy commodities in an almost ideal demand system (AIDS) and is used in ex-post simulation exercises to isolate the impact of technological and socio-demographic variables on the demand for gasoline\\\/diesel, heating and electricity.<\\\/p><p>KW  - efficiency of appliances<\\\/p><p>KW  - household energy demand<\\\/p><p>KW  - lifestyles<\\\/p><p>KW  - rebound effects<\\\/p><p>KW  - efficiency of appliances<\\\/p><p>KW  - household energy demand<\\\/p><p>KW  - lifestyles<\\\/p><p>KW  - rebound effects<\\\/p><p>M3  - WIFO series<\\\/p><p>JO  - WIFO Working Papers<\\\/p><p>JF  - WIFO Working Papers<\\\/p><p>ER  - <\\\/p><\\\/div>\"}","scientific_assistance":"[]","scientific_review":"[]","version":"","release_date":null,"expiration_date":null,"surveyor":"","research_assistance":"","edv":"","additional_info_de":"","additional_info_en":""},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.0 (Yoast SEO v28.0) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>The Impact of Technological Change and Lifestyles on the Energy Demand of Households. 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