TY  - JOUR
AB  - Purpose The purpose of this study is to estimate different data models on house prices using statistical models and the variables which are controlled by real estate policy.Design/methodology/approach This study used several statistical techniques, such as Vector auto-regression (VAR), Johansen co-integration and variance decomposition, which aim to assess the significant effect of macroeconomic factors on Chinese house prices.Findings The results show that land supply and other variables have negative effects on house prices. The results also indicate that financial mortgages for real estate have positive effects on house prices and the area of vacant houses as well as the area of housing sold.Research limitations/implications This study only covers three cities in China because of limitations of data for other cities.Originality/value This study proposes policy suggestions according to the empirical results obtained.
VL  - 11
IS  - 3
SN  - 1753-8270
DO  - 10.1108/IJHMA-03-2017-0025
UR  - https://doi.org/10.1108/IJHMA-03-2017-0025
AU  - Li Zheyu
AU  - Razali Muhammad Najib
AU  - Gholipour Fereidouni Hassan
AU  - Mohd. Adnan Yasmin
PY  - 2018
Y1  - 2018/01/01
TI  - Macro-economic index effect on house prices in China
T2  - International Journal of Housing Markets and Analysis
PB  - Emerald Publishing Limited
SP  - 453
EP  - 475
Y2  - 2024/04/20
ER  -