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Evaluation of Residential Housing Prices on the Internet: Data Pitfalls
Joint Authors
Li, Ming
Zhang, Guojun
Chen, Yunliang
Zhou, Chunshan
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-02-19
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Many studies have used housing prices on the Internet real estate information platforms as data sources, but platforms differ in the nature and quality of the data they release.
However, few studies have analysed these differences or their effect on research.
In this study, second-hand neighbourhood housing prices and information on five online real estate information platforms in Guangzhou, China, were comparatively analysed and the performance of neighbourhoods’ raw information from four for-profit online real estate information platforms was evaluated by applying the same housing price model.
The comparison results show that the official second-hand residential housing prices at city and district level are generally lower than those issued on four for-profit real estate websites.
The same second-hand neighbourhood housing prices are similar across each of the four for-profit real estate websites due to cross-referencing among real estate websites.
The differences of housing prices in the central city area are significantly fewer than those in the periphery.
The variation of each neighbourhood’s housing prices on each website decreases gradually from the city centre to the periphery, but the relative variation stays stable.
The results of the four hedonic models have some inconsistencies with other studies’ findings, demonstrating that errors exist in raw information on neighbourhoods taken from Internet platforms.
These results remind researchers to choose housing price data sources cautiously and that raw information on neighbourhoods from Internet platforms should be appropriately cleaned.
American Psychological Association (APA)
Li, Ming& Zhang, Guojun& Chen, Yunliang& Zhou, Chunshan. 2019. Evaluation of Residential Housing Prices on the Internet: Data Pitfalls. Complexity،Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1132092
Modern Language Association (MLA)
Li, Ming…[et al.]. Evaluation of Residential Housing Prices on the Internet: Data Pitfalls. Complexity No. 2019 (2019), pp.1-15.
https://search.emarefa.net/detail/BIM-1132092
American Medical Association (AMA)
Li, Ming& Zhang, Guojun& Chen, Yunliang& Zhou, Chunshan. Evaluation of Residential Housing Prices on the Internet: Data Pitfalls. Complexity. 2019. Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1132092
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1132092