THE COMOVEMENT AND ASYMMETRY OF LOGISTICS CYCLE A Multivariate Dynamic Factor Model with Markov Switching and its Application
This paper identifies the comovement and asymmetry of the logistics cycle. A multivariate dynamic factor logistics cycle model with Markov Switching is given. The Model’s Parameters are estimated using Bayesian inference methods with Gibbs Sampling. The growth rate of the common cycle variable and the probability of recessions are extracted. The empirical results demonstrate that both comovement among indicators and asymmetry between a recession and a boom are significant features of Chinese logistics cycle.
Logistics Cycle Comovement Asymmetry Markov switching
Xingdong He Kai Liu Weiru Shao
School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China Hebei Jiaotong Vocational and Technical College, Shijiazhuang, China
国际会议
北京
英文
328-333
2011-06-08(万方平台首次上网日期,不代表论文的发表时间)