Contemporaneous causality among residential housing prices of ten major Chinese cities
International Journal of Housing Markets and Analysis
ISSN: 1753-8270
Article publication date: 17 May 2022
Issue publication date: 14 August 2023
Abstract
Purpose
This study aims to investigate dynamic relationships among residential housing price indices of ten major Chinese cities for the years 2005–2021.
Design/methodology/approach
Using monthly data, this study uses vector error correction modeling and the directed acyclic graph for characterization of contemporaneous causality among the ten indices.
Findings
The PC algorithm identifies the causal pattern and the Linear Non-Gaussian Acyclic Model algorithm further determines the causal path, from which this study conducts innovation accounting analysis. Sophisticated price dynamics are found in price adjustment processes following price shocks, which are generally dominated by the top tiers of cities.
Originality/value
This study suggests that policies on residential housing prices in the long run might need to be planned with particular attention paid to these top tiers of cities.
Keywords
Citation
Xu, X. and Zhang, Y. (2023), "Contemporaneous causality among residential housing prices of ten major Chinese cities", International Journal of Housing Markets and Analysis, Vol. 16 No. 4, pp. 792-811. https://doi.org/10.1108/IJHMA-03-2022-0039
Publisher
:Emerald Publishing Limited
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