Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/37758
Title: The Matrix Exponential Spatial Specification Approach For Big Datasets: The Analysis Of Istanbul Office Market
Other Titles: Büyük Veri Setlerinde Üstel Mekânsal Matris Tanımı Yaklaşımı: İstanbul Ofis Piyasası Analizi
Authors: Kangalli-Uyar, S.G.
Keywords: Big Data
Istanbul
Matrix Exponential Spatial Specification
Office Rents
Spatial Dependency
Publisher: Sosyoekonomi Society
Abstract: Our aim is to develop a hedonic office rent model considering the spatial dependency in order to determine the factors affecting office rents. Based on a comparison between spatial lag, spatial error, and spatial Durbin models, the spatial lag model was selected as the most appropriate model explaining the relationship according to some criteria. Spatial models were estimated using the data on rent levels and property characteristics of 2348 business offices located in 28 different counties of Istanbul during the first quarter of 2018. According to the estimation results of the spatial lag model, the most effective independent variables are average vacancy rate, building type, and Bosporus view. Since the big dataset might cause some misleading estimations, the matrix exponential spatial specification model was estimated. It was observed that the estimated coefficients of both models are almost identical. © 2020, Sosyoekonomi Society. All rights reserved.
URI: https://doi.org/10.17233/sosyoekonomi.2020.01.04
ISSN: 1305-5577
Appears in Collections:İktisadi ve İdari Bilimler Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
TR Dizin İndeksli Yayınlar Koleksiyonu / TR Dizin Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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