A focused information criterion for quantile regression: Evidence for the rebound effect

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dc.contributor.authorBehl, Peter
dc.contributor.authorDette, Holger
dc.contributor.authorFrondel, Manuel
dc.contributor.authorVance, Colin
dc.date.accessioned2016-07-27T14:11:20Z
dc.date.available2016-07-27T14:11:20Z
dc.date.issued2016
dc.description.abstractIn contrast to conventional model selection criteria, the Focused Information Criterion (FIC) allows for the purpose-specific choice of model specifications. This accommodates the idea that one kind of model might be highly appropriate for inferences on a particular focus parameter, but not for another. Using the FIC concept that is developed by BEHL, CLAESKENS and DETTE (2014) for quantile regression analysis, and the estimation of the rebound effect in individual mobility behavior as an example, this paper provides for an empirical application of the FIC in the selection of quantile regression models.en
dc.identifier.urihttp://hdl.handle.net/2003/35160
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-17207
dc.language.isoende
dc.relation.ispartofseriesDiscussion Paper / SFB823;39, 2016en
dc.subjectinformation criteriaen
dc.subjectprice elasticitiesen
dc.subjectfuel efficiencyen
dc.subject.ddc310
dc.subject.ddc330
dc.subject.ddc620
dc.titleA focused information criterion for quantile regression: Evidence for the rebound effecten
dc.typeTextde
dc.type.publicationtypeworkingPaperde
dcterms.accessRightsopen access

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