<div class="csl-bib-body">
<div class="csl-entry">Quettier, A. (2015). <i>Real estate price transmission in the city of Paris : a comparison of spatial econometric methods</i> [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2015.26786</div>
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dc.identifier.uri
https://doi.org/10.34726/hss.2015.26786
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/4899
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dc.description
Abweichender Titel laut Übersetzung der Verfasserin/des Verfassers
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dc.description.abstract
This is an empirical study about the formation of homeownership prices in Paris. The main goal of the study is to determine to which extent the formation of prices is guided by selected city districts that influence the prices in other parts. For that purpose, we apply spatial econometric models at different scales to determine influent districts and justify the reasons for such influence. Using real estate data provided by the French statistical bureau INSEE, the study disposes of nearly 30.000 transactions in 2007. The use of individual data was a major issue and we construct several topographical grids to apply spatial econometric models : the Spatial Durbin Model and its particular case, the Spatial Autoregressive Model.
en
dc.language
English
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dc.language.iso
en
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dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
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dc.subject
Preisdiffusion
de
dc.subject
Räumliche Ökonometrie
de
dc.subject
Price Diffusion
en
dc.subject
Spatial Econometrics
en
dc.title
Real estate price transmission in the city of Paris : a comparison of spatial econometric methods
en
dc.title.alternative
Preisdiffusion von Eigentum in der Stadt Paris: Ein Vergleich räumlich ökonometrischer Methoden
de
dc.type
Thesis
en
dc.type
Hochschulschrift
de
dc.rights.license
In Copyright
en
dc.rights.license
Urheberrechtsschutz
de
dc.identifier.doi
10.34726/hss.2015.26786
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dc.contributor.affiliation
TU Wien, Österreich
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dc.rights.holder
Alexandre Quettier
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tuw.version
vor
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tuw.thesisinformation
Technische Universität Wien
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tuw.publication.orgunit
E105 - Institut für Stochastik und Wirtschaftsmathematik