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The Application of Spatial Autoregressive Models for Analyzing the Influence of Spatial Factors on Real Estate Prices and Values

The Application of Spatial Autoregressive Models for Analyzing the Influence of Spatial Factors... AbstractThe spatial distribution of real estate in specific geographic locations, real estate transactions, and the prices and values of properties are a highly complex spatial phenomena that should be analyzed with the use of multidimensional methods. Spatial factors are taken into account in the modeling process to increase the reliability of real estate market analyses, and spatial autoregressive models are applied to determine the effect of spatial factors on real estate prices and values.The present study relies on a review of the literature and the results of an experiment. The concept and principles of market analysis were designed with the use of spatial autoregressive models, and the influence of selected spatial factors on real estate prices was presented on maps. Analyses involving autoregressive models enable reliable modeling and support correct interpretation of the observed processes. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Real Estate Management and Valuation de Gruyter

The Application of Spatial Autoregressive Models for Analyzing the Influence of Spatial Factors on Real Estate Prices and Values

Real Estate Management and Valuation , Volume 29 (4): 13 – Dec 1, 2021

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Publisher
de Gruyter
Copyright
© 2021 Katarzyna Kobylińska, published by Sciendo
ISSN
1733-2478
eISSN
2300-5289
DOI
10.2478/remav-2021-0027
Publisher site
See Article on Publisher Site

Abstract

AbstractThe spatial distribution of real estate in specific geographic locations, real estate transactions, and the prices and values of properties are a highly complex spatial phenomena that should be analyzed with the use of multidimensional methods. Spatial factors are taken into account in the modeling process to increase the reliability of real estate market analyses, and spatial autoregressive models are applied to determine the effect of spatial factors on real estate prices and values.The present study relies on a review of the literature and the results of an experiment. The concept and principles of market analysis were designed with the use of spatial autoregressive models, and the influence of selected spatial factors on real estate prices was presented on maps. Analyses involving autoregressive models enable reliable modeling and support correct interpretation of the observed processes.

Journal

Real Estate Management and Valuationde Gruyter

Published: Dec 1, 2021

Keywords: spatial autoregressive models; spatial phenomena; real estate market; C50; R21; R31; R58

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