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OFFICE RENT MODELING IN ISTANBUL: A GEOADDITIVE APPROACH
Abstract
The objective of this research is to develop a hedonic model for office space rent prices in Istanbul, using a data set consisting of 2348 office spaces. The data includes information on office building and office space characteristics, as well as features related to the lease, location, and neighborhood that impact office rents. To examine the connection between office rent and these factors, a semiparametric geoadditive model was utilized, which allows for flexibility in functional form and captures location effects through geographical smoothing functions instead of location dummies. The results indicate that the link between office rent determinants and office space rents is nonlinear. The vacancy rate, a measure of office space demand, is the determinant with the greatest impact on office rents. The second most important determinant of office rents is that the office space is in an A-class office building, and the third most influential factor is that the office spaces have a view of the Bosporus.
Keywords
References
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Details
Primary Language
English
Subjects
Economics
Journal Section
Research Article
Authors
Early Pub Date
August 28, 2023
Publication Date
September 8, 2023
Submission Date
March 3, 2023
Acceptance Date
June 6, 2023
Published in Issue
Year 2023 Number: 58
APA
Kangallı Uyar, S. G. (2023). OFFICE RENT MODELING IN ISTANBUL: A GEOADDITIVE APPROACH. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 58, 417-434. https://doi.org/10.30794/pausbed.1259880
AMA
1.Kangallı Uyar SG. OFFICE RENT MODELING IN ISTANBUL: A GEOADDITIVE APPROACH. PAUSBED. 2023;(58):417-434. doi:10.30794/pausbed.1259880
Chicago
Kangallı Uyar, Sinem Güler. 2023. “OFFICE RENT MODELING IN ISTANBUL: A GEOADDITIVE APPROACH”. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, nos. 58: 417-34. https://doi.org/10.30794/pausbed.1259880.
EndNote
Kangallı Uyar SG (September 1, 2023) OFFICE RENT MODELING IN ISTANBUL: A GEOADDITIVE APPROACH. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi 58 417–434.
IEEE
[1]S. G. Kangallı Uyar, “OFFICE RENT MODELING IN ISTANBUL: A GEOADDITIVE APPROACH”, PAUSBED, no. 58, pp. 417–434, Sept. 2023, doi: 10.30794/pausbed.1259880.
ISNAD
Kangallı Uyar, Sinem Güler. “OFFICE RENT MODELING IN ISTANBUL: A GEOADDITIVE APPROACH”. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi. 58 (September 1, 2023): 417-434. https://doi.org/10.30794/pausbed.1259880.
JAMA
1.Kangallı Uyar SG. OFFICE RENT MODELING IN ISTANBUL: A GEOADDITIVE APPROACH. PAUSBED. 2023;:417–434.
MLA
Kangallı Uyar, Sinem Güler. “OFFICE RENT MODELING IN ISTANBUL: A GEOADDITIVE APPROACH”. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, no. 58, Sept. 2023, pp. 417-34, doi:10.30794/pausbed.1259880.
Vancouver
1.Sinem Güler Kangallı Uyar. OFFICE RENT MODELING IN ISTANBUL: A GEOADDITIVE APPROACH. PAUSBED. 2023 Sep. 1;(58):417-34. doi:10.30794/pausbed.1259880