Research on the Influencing Effect between CHVA and CPI in China Based on VAR Models ()
ABSTRACT
The
cointegration test, granger causality test, VAR model, impulse response
function and other econometric methods are used in this paper to analyze the
influencing effect between commercial housing vacancy rate and CPI and its
delay impact. The results show that there is a long-term equilibrium
relationship between commercial housing vacancy rate and CPI in China. There
are at least one cointegration relationship between CHVR and CPI. The past
values of the CPI appear to contain information which is useful for forecasting
changes in the CHVR. CPI has a significant effect on CHVR and CPI rising drives
CHVR.
Share and Cite:
Zhou, J. , Chen, J. , Yu, X. , Li, Y. and Lin, Q. (2013) Research on the Influencing Effect between CHVA and CPI in China Based on VAR Models.
American Journal of Industrial and Business Management,
3, 378-381. doi:
10.4236/ajibm.2013.34044.
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