Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/62392
Title: Structural and policy changes in the Chinese housing market
Authors: Hui, CM 
Liang, C
Zhong, J
Ip, WC
Keywords: Jump-point detection
Non-parametric statistical model
Residential house price index
Wavelet analysis
Housing policies
China
Real estate
Issue Date: 2016
Publisher: American Society of Civil Engineers
Source: Journal of urban planning and development, 2016, v. 142, no. 1, 4015012 How to cite?
Journal: Journal of urban planning and development 
Abstract: Housing price becomes a popular topic among nearly most of the investors in major Chinese cities. Recently, the housing markets appears to have shown signs of overheating and nonstationary trends, attributable to the collapse of the global economic environment and the introduction of local policies. The purpose of this study is to investigate if abrupt structural changes, which can be viewed as the effectiveness of government regulations and economic events but hidden in the housing price index, exist. An improved nonparametric statistical model, namely the wavelet detection technique, is introduced in this paper, based on which jump point(s) can be identified. Our empirical study illustrates that the domino effect as suggested by the detected change points are, geographically, from south to north, and from east to west, in contrast with general understanding. This may be a result of the owner-occupier demand in China's housing markets.
URI: http://hdl.handle.net/10397/62392
ISSN: 0733-9488
EISSN: 1943-5444
DOI: 10.1061/(ASCE)UP.1943-5444.0000294
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