Vector Error-Correction Models
Multivariate linear models including cointegrating relations and exogenous predictor variables
Vector-error correction (VEC) models, orcointegrated VAR models,在多个响应序列的共同体内产生的多元时间序列中解决非平稳性。有关使用VEC建模工具分析的示例,请参见Modeling the United States Economy.
Apps
Econometric Modeler | Analyze and model econometric time series |
Functions
Topics
Interactive
- Econometric Modeler App Overview
计量经济学建模器应用程序是一种交互式工具,用于可视化和分析单变量或多变量时间序列数据。 - Conduct Cointegration Test Using Econometric Modeler App
Interactively test series for cointegration by using the Engle-Granger cointegration test and the Johansen cointegration test. - Specifying Multivariate Lag Operator Polynomials and Coefficient Constraints Interactively
Specify multivariate lag operator polynomial terms for time series model estimation using Econometric Modeler. - Estimate Vector Error-Correction Model Using Econometric Modeler App
Interactively fit several vector error-correction (VEC) models to data. Then, select an estimated model and export it to the command line to generate forecasts.
Programmatic
- Modeling the United States Economy
This example illustrates the use of a vector error-correction (VEC) model as a linear alternative to the Smets-Wouters Dynamic Stochastic General Equilibrium (DSGE) macroeconomic model, and applies many of the techniques of Smets-Wouters to the description of the United States economy. - Generate VEC Model Impulse Responses
Generate impulse responses from a VEC model. - VEC模型蒙特卡洛预测
Generate Monte Carlo and MMSE forecasts from a VEC model.