DocumentCode :
2430800
Title :
Dynamic influence analysis of the CPI on ship maintenance hourly rate based on VAR model
Author :
Ru-xiang, Wei ; Jun-gang, Du ; Cen-cheng, Kang
Author_Institution :
Coll. of Sci., Naval Univ. of Eng., Wuhan, China
fYear :
2011
fDate :
8-11 Jan. 2011
Firstpage :
594
Lastpage :
598
Abstract :
Based on the yearly data from 1979 to 2009, the VAR model between CPI and ship maintenance hourly rate is established on the results of correlation, stationarity and cointegration test of the samples data. And then the Granger causality test, impulse response function and variance decomposition are applied into the dynamic analysis of the VAR model established in this paper. The empirical results show that there is a long-run equilibrium relationship between them. The CPI is the granger causality of the changes of hourly rate, and the reverse conclusion is also existed. A plus response would appear in time when the CPI changes and this influence has a long effect. The hourly rate is influenced by its inertia greatly in short-time, then the contributive percent from the CPI ascends rapidly to the degree which is equal to the degree of hourly rate inertia. The response of CPI to the change of hourly rate has one year lag, and the degree is also relatively insignificant to the inverse response. In the long term, the trace of hourly rate is ascending and fluctuating owing to the impact relations between CPI and hourly rate.
Keywords :
maintenance engineering; pricing; reverse engineering; ships; statistical analysis; value engineering; CPI; VAR model; consumer price index; dynamic analysis; granger causality test; impulse response function; inverse response; long-run equilibrium relationship; reverse conclusion; ship maintenance hourly rate; variance decomposition; Analytical models; Biological system modeling; Correlation; Fluctuations; Indexes; Maintenance engineering; Marine vehicles; CPI; VAR model; dynamic analysis; hourly rate; impulse response function;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management Science and Industrial Engineering (MSIE), 2011 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-8383-9
Type :
conf
DOI :
10.1109/MSIE.2011.5707478
Filename :
5707478
Link To Document :
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