A review of property mass valuation models

Mass valuation of properties is important for purposes like property tax, price indices construction, and understanding market dynamics. There are several ways that the mass valuation can be carried out. This paper reviews the conventional MRA and several other advanced methods such as SAR, Kriging,...

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Main Authors: Jahanshiri, Ebrahim, Buyong, Taher, Mohamed Shariff, Abdul Rashid
Format: Article
Language:English
Published: Universiti Putra Malaysia Press 2011
Online Access:http://psasir.upm.edu.my/id/eprint/18179/
http://psasir.upm.edu.my/id/eprint/18179/1/09%20Pg%2023-30.pdf
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author Jahanshiri, Ebrahim
Buyong, Taher
Mohamed Shariff, Abdul Rashid
author_facet Jahanshiri, Ebrahim
Buyong, Taher
Mohamed Shariff, Abdul Rashid
author_sort Jahanshiri, Ebrahim
building UPM Institutional Repository
collection Online Access
description Mass valuation of properties is important for purposes like property tax, price indices construction, and understanding market dynamics. There are several ways that the mass valuation can be carried out. This paper reviews the conventional MRA and several other advanced methods such as SAR, Kriging, GWR, and MWR. SAR and Kriging are good for modeling spatial dependence while GWR and MWR are good for modeling spatial heterogeneity. The difference between SAR and Kriging is the calculation of weights. Kriging weights are based on the spatial dependence or so called the semi-variogram analysis of the price data whereas the weights in SAR are based on the spatial contiguity between the sample data. MWR and GWR are special types of regression where study region is subdivided into local sections to increase the accuracy of prediction through neutralizing the heterogeneity of autocorrelations. MWR assigns equal weights for observations within a window while GWR uses distance decay functions. The merits and drawbacks of each method are discussed.
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spelling upm-181792016-01-26T04:05:57Z http://psasir.upm.edu.my/id/eprint/18179/ A review of property mass valuation models Jahanshiri, Ebrahim Buyong, Taher Mohamed Shariff, Abdul Rashid Mass valuation of properties is important for purposes like property tax, price indices construction, and understanding market dynamics. There are several ways that the mass valuation can be carried out. This paper reviews the conventional MRA and several other advanced methods such as SAR, Kriging, GWR, and MWR. SAR and Kriging are good for modeling spatial dependence while GWR and MWR are good for modeling spatial heterogeneity. The difference between SAR and Kriging is the calculation of weights. Kriging weights are based on the spatial dependence or so called the semi-variogram analysis of the price data whereas the weights in SAR are based on the spatial contiguity between the sample data. MWR and GWR are special types of regression where study region is subdivided into local sections to increase the accuracy of prediction through neutralizing the heterogeneity of autocorrelations. MWR assigns equal weights for observations within a window while GWR uses distance decay functions. The merits and drawbacks of each method are discussed. Universiti Putra Malaysia Press 2011-10 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/18179/1/09%20Pg%2023-30.pdf Jahanshiri, Ebrahim and Buyong, Taher and Mohamed Shariff, Abdul Rashid (2011) A review of property mass valuation models. Pertanika Journal of Science & Technology, 19 (S). pp. 23-30. ISSN 0128-7680; ESSN: 2231-8526 http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2019%20%28S%29%20Oct.%202011/09%20Pg%2023-30.pdf
spellingShingle Jahanshiri, Ebrahim
Buyong, Taher
Mohamed Shariff, Abdul Rashid
A review of property mass valuation models
title A review of property mass valuation models
title_full A review of property mass valuation models
title_fullStr A review of property mass valuation models
title_full_unstemmed A review of property mass valuation models
title_short A review of property mass valuation models
title_sort review of property mass valuation models
url http://psasir.upm.edu.my/id/eprint/18179/
http://psasir.upm.edu.my/id/eprint/18179/
http://psasir.upm.edu.my/id/eprint/18179/1/09%20Pg%2023-30.pdf