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Quantile house price indices in Beijing

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  • Zhang, Lei
  • Yi, Yimin

Abstract

Using a comprehensive micro-level dataset of newly-built residential housing units in Beijing, we examine the determinants of house prices from 2013 to 2015, and construct a regular house price index using Ordinary Least Squares estimation and quantile house price indices using quantile regression. Our findings suggest a high appreciation rate of house prices from 2013 to 2015. Moreover, we find that most housing attributes are valued differently across the complete distribution of house prices, and the distribution of house prices changes according to the different value of housing attributes. The result shows that even though the trend of house price indices is similar, the magnitude of appreciation rates vary across different quantiles.

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  • Zhang, Lei & Yi, Yimin, 2017. "Quantile house price indices in Beijing," Regional Science and Urban Economics, Elsevier, vol. 63(C), pages 85-96.
    • Handle: RePEc:eee:regeco:v:63:y:2017:i:c:p:85-96
    DOI: 10.1016/j.regsciurbeco.2017.01.002
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    Cited by:

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    11. Zengzheng Wang & Fuhao Zhang & Yangyang Zhao, 2023. "Exploring the Spatial Discrete Heterogeneity of Housing Prices in Beijing, China, Based on Regionally Geographically Weighted Regression Affected by Education," Land, MDPI, vol. 12(1), pages 1-24, January.
    12. Mahdieh Yazdani, 2021. "House Price Determinants and Market Segmentation in Boulder, Colorado: A Hedonic Price Approach," Papers 2108.02442, arXiv.org.
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    14. Evangelista, Rui & Silva, João Andrade e & Ramalho, Esmeralda A., 2022. "How heterogeneous is the impact of energy efficiency on dwelling prices? Evidence from the application of the unconditional quantile hedonic model to the Portuguese residential market," Energy Economics, Elsevier, vol. 109(C).
    15. Evangelista, Rui & Ramalho, Esmeralda A. & Andrade e Silva, João, 2020. "On the use of hedonic regression models to measure the effect of energy efficiency on residential property transaction prices: Evidence for Portugal and selected data issues," Energy Economics, Elsevier, vol. 86(C).
    16. Zambrano-Monserrate, Manuel A. & Ruano, María Alejandra & Yoong-Parraga, Cristina & Silva, Carlos A., 2021. "Urban green spaces and housing prices in developing countries: A Two-stage quantile spatial regression analysis," Forest Policy and Economics, Elsevier, vol. 125(C).
    17. Huang, Bin & He, Xiaoyan & Xu, Lei & Zhu, Yu, 2018. "Elite School Designation and House Prices - Quasi-experimental Evidence from Beijing, China," GLO Discussion Paper Series 283, Global Labor Organization (GLO).
    18. Manuel A. Zambrano-Monserrate & Maria Alejandra Ruano & Carlos A. Silva & Ronald Campoverde & Christian Rosero & Daniel A. Sanchez-Loor, 2023. "Dynamism of the housing rental market in Guayaquil, Ecuador: an empirical analysis," Empirical Economics, Springer, vol. 64(2), pages 747-764, February.
    19. Yang, Linchuan & Chau, K.W. & Wang, Xu, 2019. "Are low-end housing purchasers more willing to pay for access to basic public services? Evidence from China," Research in Transportation Economics, Elsevier, vol. 76(C).
    20. Sangwan Lee & Liming Wang, 2022. "Intermediate Effect of the COVID-19 Pandemic on Prices of Housing near Light Rail Transit: A Case Study of the Portland Metropolitan Area," Sustainability, MDPI, vol. 14(15), pages 1-17, July.
    21. Heiko Kirchhain & Jan Mutl & Joachim Zietz, 2020. "The Impact of Exogenous Shocks on House Prices: the Case of the Volkswagen Emissions Scandal," The Journal of Real Estate Finance and Economics, Springer, vol. 60(4), pages 587-610, May.
    22. Raul-Tomas Mora-Garcia & Maria-Francisca Cespedes-Lopez & V. Raul Perez-Sanchez & Pablo Marti & Juan-Carlos Perez-Sanchez, 2019. "Determinants of the Price of Housing in the Province of Alicante (Spain): Analysis Using Quantile Regression," Sustainability, MDPI, vol. 11(2), pages 1-33, January.
    23. Huang, Bin & He, Xiaoyan & Xu, Lei & Zhu, Yu, 2020. "Elite School Designation and Housing Prices: Quasi-Experimental Evidence from Beijing, China," IZA Discussion Papers 12897, Institute of Labor Economics (IZA).
    24. Hu, Lirong & He, Shenjing & Han, Zixuan & Xiao, He & Su, Shiliang & Weng, Min & Cai, Zhongliang, 2019. "Monitoring housing rental prices based on social media:An integrated approach of machine-learning algorithms and hedonic modeling to inform equitable housing policies," Land Use Policy, Elsevier, vol. 82(C), pages 657-673.

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    More about this item

    Keywords

    Hedonic model; Quantile house price indices; China;
    All these keywords.

    JEL classification:

    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis

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