方法对比
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| 时变参数格兰杰因果关系× | 向量自回归 (VAR)× | |
|---|---|---|
| 领域 | 计量经济学 | 计量经济学 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 1969 (Granger); TVP extension ~2005 | 1980 |
| 提出者≠ | C.W.J. Granger (causality concept); TVP extension developed by Primiceri (2005) and subsequent literature | Christopher A. Sims |
| 类型≠ | Causality test / time-varying model | Multivariate time-series model |
| 开创性文献≠ | Granger, C. W. J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37(3), 424-438. DOI ↗ | Sims, C. A. (1980). Macroeconomics and Reality. Econometrica, 48(1), 1–48. DOI ↗ |
| 别名 | TVP Granger causality, rolling-window Granger causality, time-varying Granger test, dynamic Granger causality | VAR, VAR model, vector autoregressive model, multivariate autoregression |
| 相关≠ | 4 | 5 |
| 摘要≠ | Time-varying parameter Granger causality extends the classical Granger causality framework by allowing the predictive relationships between time series to evolve across time. Instead of assuming fixed causal effects, the model estimates causal coefficients that can shift, capturing structural breaks, regime changes, or gradual evolution in economic or financial relationships. | Vector Autoregression is a multivariate time-series model in which each variable is regressed on its own lags and the lags of all other variables in the system. Originally proposed by Sims (1980) as a data-driven alternative to large structural macroeconomic models, VAR has become the standard workhorse for dynamic analysis in empirical economics and finance. |
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