方法对比
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| 稳健向量自回归（Robust VAR）模型× | 面板向量自回归模型 (Panel VAR)× | |
|---|---|---|
| 领域 | 计量经济学 | 计量经济学 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 1980s–2000s | 1988 |
| 提出者≠ | Extensions by Lutkepohl and others building on Sims (1980) VAR framework | Holtz-Eakin, Newey & Rosen |
| 类型≠ | Multivariate time-series model with robust estimation | Panel vector autoregression |
| 开创性文献≠ | Goncalves, S., & Kilian, L. (2004). Bootstrapping autoregressions with conditional heteroskedasticity of unknown form. Journal of Econometrics, 123(1), 89-120. DOI ↗ | Holtz-Eakin, D., Newey, W. & Rosen, H. S. (1988). Estimating Vector Autoregressions with Panel Data. Econometrica, 56(6), 1371-1395. DOI ↗ |
| 别名≠ | robust VAR, outlier-robust VAR, heavy-tailed VAR, RVAR | PVAR, panel vector autoregression, Panel VAR (PVAR) |
| 相关≠ | 5 | 3 |
| 摘要≠ | The Robust VAR model extends the classical Vector Autoregression framework by replacing ordinary least squares estimation with robust estimators — such as M-estimators or median-based methods — to reduce the influence of outliers, structural breaks, and heavy-tailed shocks common in financial and macroeconomic time series. | Panel VAR extends the vector autoregression model to panel data, modelling the dynamic interactions among several variables while controlling for cross-unit heterogeneity through fixed effects. It was introduced by Holtz-Eakin, Newey and Rosen in 1988 and produces impulse-response functions and variance decompositions at the panel level. |
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