2013
DOI: 10.1515/jbnst-2013-5-604
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Identifying Free-riding in Home Renovation Programs Using Revealed Preference Data

Abstract: Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in… Show more

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Cited by 10 publications
(5 citation statements)
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“…Finally, as explained above (section 5), our results indicate that freeriding decreased over time, especially from 2009, which corresponds to an increase in the subsidy rates. This is consistent with Grösche et al (2013) who found that increasing the level of subsidy decreases the proportion of free-riding.…”
Section: Comparison Between Estimated Levels Of Free-riding Results supporting
confidence: 91%
See 1 more Smart Citation
“…Finally, as explained above (section 5), our results indicate that freeriding decreased over time, especially from 2009, which corresponds to an increase in the subsidy rates. This is consistent with Grösche et al (2013) who found that increasing the level of subsidy decreases the proportion of free-riding.…”
Section: Comparison Between Estimated Levels Of Free-riding Results supporting
confidence: 91%
“…Using a discrete choice model on German cross-section data, Grösche and Vance (2009) designated potential free-riders as those whose estimated marginal willingness to pay for a particular retrofit option is higher than the observed investment cost without subsidy, and found a proportion of free-riding approaching 50%. Using the same database, Grösche, Schmidt, and Vance (2013) applied a more flexible discrete choice model to generate predicted choice probabilities for each retrofitting option. They found that, as the size of the subsidy increases, the share of program funds allocated to freeriders decreases even as the overall cost of the program increases.…”
Section: Introductionmentioning
confidence: 99%
“…We have indicated that individuals with an income lower than EUR 24,000 are more likely to have renovated their dwelling. This finding comes in contrast to previous research, which has revealed either a positive effect [22,23,[25][26][27] or no effect created by income [64][65][66]. However, this "opposite" result may have an explanation; the applicable provided public incentives take into account the level of annual family income, providing more significant financial motivations to lower-income homeowners.…”
Section: Determinants Of the Decision To Perform An Energy-saving Ren...contrasting
confidence: 95%
“…High cost of investment for energy efficient renovations and the lack of financial resources from house owners' side is the most common preventing factor appearing in studies [31,35,[48][49][50][51][52]. There is a need for a significant upfront funding to overcome that barrier [26].…”
Section: Economic Factorsmentioning
confidence: 99%