A priori spatial segmentation of commercial property market using hedonic price modelling

Usman, Hamza and Lizam, Mohd and Burhan, Burhaida (2021) A priori spatial segmentation of commercial property market using hedonic price modelling. REAL ESTATE MANAGEMENT AND VALUATION, 29 (2). pp. 16-28.

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Abstract

The improvement of property price modelling accuracy using property market segmentation approaches is well documented in the housing market. However, that cannot be said of the commercial property market which is adjudged to be volatile, heterogeneous and thinly traded. This study, therefore, determines if the commercial property market in Malaysia is spatially segmented into submarkets and whether accounting for the submarkets improves the accuracy of price modelling. Using a 11,460 shop-offices transaction dataset, the commercial property submarkets are delineated by using submarket binary dummies in the market-wide model and estimating a separate hedonic model for each submarket. The former method improves the model fit and reduces error by 5.6% and 6.5% respectively. The commercial property submarkets are better delineated by estimating a separate hedonic model for each submarket as it improves the model fit by about 7% and reduces models’ error by more than 10%. This study concludes that the Malaysian commercial property market is spatially segmented into submarkets. Modelling the submarkets improves the accuracy and correctness of price modelling.

Item Type:	Article
Uncontrolled Keywords:	Market segmentation; hedonic price modelling; submarket; commercial property
Subjects:	H Social Sciences > HB Economic Theory > HB522-715 Income. Factor shares > HB615-715 Entrepreneurship. Risk and uncertainty. Property H Social Sciences > HF Commerce > HF5001-6182 Business
Divisions:	Faculty of Technology Management and Business > Department of Technology Management
Depositing User:	Mr. Abdul Rahim Mat Radzuan
Date Deposited:	27 Jan 2022 06:41
Last Modified:	27 Jan 2022 06:41
URI:	http://eprints.uthm.edu.my/id/eprint/6244

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