Full metadata record
DC FieldValueLanguage
dc.contributor.authorFrondel, Manuel-
dc.contributor.authorRitter, Nolan-
dc.contributor.authorVance, Colin-
dc.description.abstractRebound effects measure the behaviorally induced offset in the reduction of energy consumption following efficiency improvements. Using both panel estimation and quantile-regression methods on household travel diary data collected in Germany between 1997 and 2009, this study investigates the heterogeneity of the rebound effect in private transport. With the average rebound effect being in the range of 57% to 62%, our results are in line with a recent German study by FRONDEL, PETERS, and VANCE (2008), but are substantially larger than those obtained from other studies. Furthermore, our quantile-regression results indicate that the magnitude of estimated fuel price elasticities – from which rebound effects can be derived – depends inversely on the household’s driving intensity: Households with low vehicle mileage exhibit fuel price elasticities, and hence rebound effects, that are significantly larger than those for households with high vehicle mileage.en
dc.relation.ispartofseriesDiscussion Paper / SFB 823;29/2010en
dc.subjectAutomobile travelen
dc.subjectPanel modelsen
dc.subjectRebound effecten
dc.titleHeterogeneity in the rebounden
dc.title.alternativeA quantile-regression approachen
dcterms.accessRightsopen access-
Appears in Collections:Sonderforschungsbereich (SFB) 823

Files in This Item:
File Description SizeFormat 
DP_2910_SFB823_frondel_ritter_vance.pdfDNB307.94 kBAdobe PDFView/Open

This item is protected by original copyright

If no CC-License is given, pleas contact the the creator, if you want to use thre resource other than only read it.