House Price Index Construction in the Nascent Housing Market: The Case of China

  • Jing WuEmail author
  • Yongheng Deng
  • Hongyu Liu


Most existing house price index construction methods are developed mainly based on transaction data from the secondary housing market, and are not necessarily suitable for the nascent housing markets where a predominant portion of housing transactions are new units. Using the booming market in China as an example, we evaluate and compare the performances of three most common house price measurement methods in the newly-built housing sector, including the simple average method without quality adjustment, the matching approach with the repeat sales modeling framework, and the hedonic modeling approach. Our analyses suggest that the simple average method fails to account for the substantial complex-level quality changes over time of sales during our sample period, and the matching model fails to control for the effect of developers’ pricing behaviors when adopted in the newly-built sector, hence both are downward biased. Based on this finding, we apply a hedonic method, which allows us to control for both quality changes over time of sales and developers’ pricing behaviors, to 35 major newly-built housing markets and provide the first multi-city constant-quality house price index in China. The new index reveals that the current Chinese housing market is facing a greater risk of mispricing than reported by the existing official metrics.


House price index Hedonic method Quality change Nascent housing market 

JEL Classification

C43 C81 R31 



We thank the editors and the anonymous referee, Zhi Dong, John Quigley, Joseph Gyourko, and participants in the 2011 Asia-Pacific Real Estate Research Symposium and the 2011 AsRES & AREUEA Joint Conference for helpful comments. Liu and Wu thank the National Natural Science Foundation of China for financial support (No. 70873072 & 71003060). Deng and Wu thank the Institute of Real Estate Studies at National University of Singapore for financial support. Wu also thanks Peking University—Lincoln Institute Center for Urban Development and Land Policy for research support. We remain responsible for all remaining errors.


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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Department of Construction ManagementTsinghua UniversityBeijingChina
  2. 2.Institute of Real Estate StudiesNational University of SingaporeSingaporeSingapore

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