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| Модел на Векторна Авторегресия със Структурни Прекъсвания× | Структурна векторна авторегресия (SVAR)× | |
|---|---|---|
| Област | Иконометрия | Иконометрия |
| Семейство | Regression model | Regression model |
| Година на възникване≠ | 1980–1998 | 1980 |
| Създател≠ | Bai & Perron (structural breaks); Sims (VAR framework) | Sims (1980); identification schemes by Blanchard & Quah (1989) |
| Тип≠ | Multivariate time series model with regime change | Multivariate time series model |
| Основополагащ източник≠ | Bai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47–78. DOI ↗ | Blanchard, O. J., & Quah, D. (1989). The dynamic effects of aggregate demand and supply disturbances. American Economic Review, 79(4), 655-673. link ↗ |
| Други названия | VAR with structural breaks, break-point VAR, regime-switching VAR, SB-VAR | SVAR, structural vector autoregression, identified VAR, structural VAR model |
| Свързани≠ | 6 | 5 |
| Резюме≠ | The Structural Break VAR model extends the standard Vector Autoregression (VAR) framework by allowing coefficient matrices and error covariance to shift at one or more unknown break dates. It is designed for multivariate time series where economic relationships change abruptly due to policy shifts, financial crises, or major structural events. | Structural VAR extends the reduced-form VAR by imposing economic theory-based restrictions that identify orthogonal structural shocks. This allows researchers to disentangle the causal effects of distinct economic disturbances — such as supply versus demand shocks — and trace their dynamic propagation through a system of variables via impulse response functions and forecast error variance decompositions. |
| ScholarGateНабор от данни ↗ |
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