Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/28446
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dc.contributor.authorKangallı Uyar, Sinem Güler-
dc.date.accessioned2020-01-07T12:42:18Z-
dc.date.available2020-01-07T12:42:18Z-
dc.date.issued2018-04-
dc.identifier.urihttps://hdl.handle.net/11499/28446-
dc.description.abstractProducts in housing markets exhibit heterogeneous properties in that they have different structural, physical and location characteristics. Because of the segmented structure of housing markets, the relationship between home prices and characteristics might vary by location. Therefore, in order to investigate this relationship within the context of the hedonic pricing theory, a geographically weighted regression model was used that allows the relationships to change based on location and allowed for flexibility in determining functional forms. The analysis results indicate that there are nonparametric relationships between home prices and their characteristics. Moreover, these relationships differ for each sub-market.en_US
dc.language.isoenen_US
dc.publisherGazi Kitabevien_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleSpatial heterogeneity in hedonic pricing models: The housing market in Istanbul, Turkeyen_US
dc.typeBook Parten_US
dc.authorid0000-0003-3694-150X-
dc.relation.publicationcategoryKitap Bölümü - Uluslararasıen_US
dc.ownerPamukkale University-
item.languageiso639-1en-
item.fulltextWith Fulltext-
item.openairetypeBook Part-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.dept08.08. Econometrics-
Appears in Collections:İktisadi ve İdari Bilimler Fakültesi Koleksiyonu
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