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House price index based on online listing information: The case of China

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  • Wang, Xiaodan
  • Li, Keyang
  • Wu, Jing

Abstract

While a timely, accurate house price index with broad coverage is of significant importance in housing market research and analysis, the lack of reliable raw data sources remains a major constraint in the house price index construction in nascent housing markets such as China. In this study, we introduce online listing information as an innovative data source for house price index construction, using China's housing resale markets as an example. Compared with alternative data sources, such as the officially-registered transaction information of housing resales, our analysis shows that online listing data provide a better trade-off between accuracy, reliability, and feasibility, especially after the resolution of potential replicated and/or manipulated data issues using our proposed procedures. Based on the cleaned online listing information, we calculate the first housing resale price indices covering almost all (274) Chinese cities. In particular, for around 200 relatively smaller cities, the index provides the first regular house price indicator, which shows a significant divergence in house price dynamics between different tiers of cities. We also briefly discuss the potential extensions of the listing price index, including the daily house price index and the housing rental price index.

Suggested Citation

  • Wang, Xiaodan & Li, Keyang & Wu, Jing, 2020. "House price index based on online listing information: The case of China," Journal of Housing Economics, Elsevier, vol. 50(C).
  • Handle: RePEc:eee:jhouse:v:50:y:2020:i:c:s1051137720300516
    DOI: 10.1016/j.jhe.2020.101715
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    Cited by:

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    3. Jinyi Xiao & Hongyu Liu & Jing Wu, 2022. "The Status Quos and Causes of Concentrated Elderly Populations in Old Urban Communities in China," Sustainability, MDPI, vol. 14(19), pages 1-24, October.
    4. Hill, Robert J. & Trojanek, Radoslaw, 2022. "An evaluation of competing methods for constructing house price indexes: The case of Warsaw," Land Use Policy, Elsevier, vol. 120(C).
    5. Ekaterina Bobrovskaya & Andrey Polbin & Nikita Fokin, 2024. "Hedonic Price Indices for Moscow Short-Term Rental Housing," Russian Journal of Money and Finance, Bank of Russia, vol. 83(1), pages 77-103, March.
    6. Gyourko, Joseph & Shen, Yang & Wu, Jing & Zhang, Rongjie, 2022. "Land finance in China: Analysis and review," China Economic Review, Elsevier, vol. 76(C).
    7. Michał Hebdzyński, 2024. "Price-setting factors or revealed preferences? How to understand the results of hedonic models and hedonic indices of the housing rental market that base on listings data?," Bank i Kredyt, Narodowy Bank Polski, vol. 55(4), pages 519-550.
    8. Li, Qiang & Nong, Huifu, 2022. "A closer look at Chinese housing market: Measuring intra-city submarket connectedness in Shanghai and Guangzhou," China Economic Review, Elsevier, vol. 74(C).

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    More about this item

    Keywords

    Online listing information; House price index; China;
    All these keywords.

    JEL classification:

    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • R38 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Government Policy
    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

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