Heterogeneity in the rebound
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A quantile-regression approach
Zusammenfassung
Rebound 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.
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Automobile travel, Panel models, Rebound effect
