提出一种结构方程模型的动态预测建模方法，从而可以在无须未来样本数据的情况下，预测系统要素之间未来的因果关系。
Based on the historical data, a forecast modeling method for structural equation model was discussed, where the future relationship between the system factors was described without future sample.
在实证研究中，本文对相关数据进行了协整和格兰杰因果检验，并通过误差修正模型研究了纺织品服装出口影响要素的短期动态关系。
In the empirical study, the synergistic integration and Granger causality test, and error correction model by textile clothing effect factor of the short term dynamics.
在实证研究中，本文对相关数据进行了协整和格兰杰因果检验，并通过误差修正模型研究了纺织品服装出口影响要素的短期动态关系。
In the empirical study, the synergistic integration and Granger causality test, and error correction model by textile clothing effect factor of the short term dynamics.
应用推荐