Identifying Berlin’s land value map using adaptive weights smoothing

dc.contributor.authorKolbe, Jens
dc.contributor.authorSchulz, Rainer
dc.contributor.authorWersing, Martin
dc.contributor.authorWerwatz, Axel
dc.date.accessioned2018-01-29T12:10:46Z
dc.date.available2018-01-29T12:10:46Z
dc.date.issued2015
dc.description.abstractWe use adaptive weights smoothing (AWS) of Polzehl and Spokoiny (J R Stat Soc Ser B 62:335–354, 2000; Ann Stat 31:30–57, 2003; Probab Theory Relat Fields 135:335–362, 2006) to estimate a map of land values for Berlin, Germany. Our data are prices of undeveloped land that was transacted between 1996 and 2009. Even though the observed land price is an indicator of the respective land value, it is influenced by transaction noise. The iterative AWS applies piecewise constant regression to reduce this noise and tests at each location for constancy at the margin. If not rejected, further observations are included in the local regression. The estimated land value map conforms overall well with expert-based land values. Our application suggests that the transparent AWS could prove a useful tool for researchers and real estate practitioners alike.en
dc.identifier.issn0943-4062
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/7380
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-6629
dc.language.isoenen
dc.relation.ispartof10.14279/depositonce-6151en
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.ddc330 Wirtschaftde
dc.subject.ddc333 Boden- und Energiewirtschaftde
dc.subject.otherland valueen
dc.subject.otheradaptive weight smoothingen
dc.subject.otherspatial modelingen
dc.titleIdentifying Berlin’s land value map using adaptive weights smoothingen
dc.typeArticleen
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.doi10.1007/s00180-015-0559-9en
dcterms.bibliographicCitation.issue3en
dcterms.bibliographicCitation.journaltitleComputational statisticsen
dcterms.bibliographicCitation.originalpublishernameSpringeren
dcterms.bibliographicCitation.originalpublisherplaceBerlin ; Heidelbergen
dcterms.bibliographicCitation.pageend790en
dcterms.bibliographicCitation.pagestart767en
dcterms.bibliographicCitation.volume30en
tub.accessrights.dnbfreeen
tub.affiliationFak. 7 Wirtschaft und Management::Inst. Volkswirtschaftslehre und Wirtschaftsrecht (IVWR)::FG Ökonometrie und Wirtschaftsstatistikde
tub.affiliation.facultyFak. 7 Wirtschaft und Managementde
tub.affiliation.groupFG Ökonometrie und Wirtschaftsstatistikde
tub.affiliation.instituteInst. Volkswirtschaftslehre und Wirtschaftsrecht (IVWR)de
tub.publisher.universityorinstitutionTechnische Universität Berlinen

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