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Analyzing the Dynamics of Nonlinear Multivariate Time Series Models
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作者 denghuazhong ZhengfengZhang +1 位作者 DonghaiLiu StefanMittnik 《Journal of Systems Science and Information》 2004年第3期417-430,共14页
This paper analyzes the dynamics of nonlinear multivariate time series models that is represented by generalized impulse response functions and asymmetric functions. We illustrate the measures of shock persistences an... This paper analyzes the dynamics of nonlinear multivariate time series models that is represented by generalized impulse response functions and asymmetric functions. We illustrate the measures of shock persistences and asymmetric effects of shocks derived from the generalized impulse response functions and asymmetric function in bivariate smooth transition regression models. The empirical work investigates a bivariate smooth transition model of US GDP and the unemployment rate. 展开更多
关键词 动力学 非线性多变量时间连续模型 广义脉冲响应函数 不对称函数
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