方法对比
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| 因子增广向量自回归模型 (FAVAR)× | 门限向量自回归（TVAR）和光滑转换向量自回归（STVAR）× | |
|---|---|---|
| 领域 | 计量经济学 | 计量经济学 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 2005 | 1998 |
| 提出者≠ | Bernanke, Boivin & Eliasz (2005); building on Stock & Watson diffusion indexes | Tsay (multivariate threshold modelling) |
| 类型≠ | Multivariate time-series model | Nonlinear multivariate time-series model |
| 开创性文献≠ | Bernanke, B. S., Boivin, J. & Eliasz, P. (2005). Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach. The Quarterly Journal of Economics, 120(1), 387-422. DOI ↗ | Tsay, R. S. (1998). Testing and Modeling Multivariate Threshold Models. Journal of the American Statistical Association, 93(443), 1188-1202. DOI ↗ |
| 别名≠ | factor-augmented VAR, FAVAR model, Faktör Artırımlı VAR (FAVAR) | TVAR, STVAR, regime-switching VAR, threshold VAR |
| 相关≠ | 4 | 5 |
| 摘要≠ | FAVAR is a multivariate time-series model that first compresses information from a very large set of variables into a few common factors, then includes those factors alongside the observed variables in a vector autoregression. It was introduced by Bernanke, Boivin and Eliasz in 2005 to study monetary policy using hundreds of macroeconomic indicators at once. | Threshold VAR and Smooth-Transition VAR are nonlinear multivariate time-series models in which the coefficients of a vector autoregression switch between regimes according to a threshold variable. Building on Tsay's 1998 treatment of multivariate threshold models, they capture different dynamic structures across phases such as the business cycle, financial crises, or policy differences. |
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