@techreport{Grosche2009Identifying,
abstract = {Identifying the incidence of free-ridership is significant to a range of issues relevant to program evaluation, including the calculation of net program benefits and more general assessments of political acceptability. Estimates of free-ridership in the area of energy policy frequently rely on ex-post surveys that ask program participants whether they would have behaved differently in the absence of program support. The present paper proposes an ex-ante approach to the calculation of the free-rider share using revealed preference data on home renovations from Germany's residential sector. We employ a discrete-choice model to simulate the effect of grants on renovation choices, the output from which is used to assess the extent of free-ridership under a contemporary subsidy program. Aside from its simplicity, a key advantage of the approach is that it bestows policymakers with an estimate of free-ridership prior to program implementation.},
address = {Essen},
author = {Peter Gr\"{o}sche and Christoph M. Schmidt and Colin Vance},
copyright = {http://www.econstor.eu/dspace/Nutzungsbedingungen},
isbn = {978-3-86788-110-4},
keywords = {C25; D12; Q4; 330; Energy efficiency; residential sector; random utility model; discrete choice simulation; Energiesparen; Wirtschaftspolitische Wirkungsanalyse; Wohneigentum; Trittbrettfahrerverhalten; Deutschland},
language = {eng},
number = {99},
publisher = {RWI},
title = {Identifying free-riding in energy-conservation programs using revealed preference data},
type = {Ruhr economic papers},
url = {http://hdl.handle.net/10419/29893},
year = {2009}
}
