Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Модель структурного разрыва СВАР× | Структурная векторная авторегрессия (SVAR)× | |
|---|---|---|
| Область | Эконометрика | Эконометрика |
| Семейство | Regression model | Regression model |
| Год появления≠ | 1980–2000s | 1980 |
| Автор метода≠ | Sims (1980) for SVAR; structural break extensions developed throughout 1990s–2000s | Sims (1980); identification schemes by Blanchard & Quah (1989) |
| Тип≠ | Multivariate time-series model with regime change | Multivariate time series model |
| Основополагающий источник≠ | Sims, C. A. (1980). Macroeconomics and reality. Econometrica, 48(1), 1–48. DOI ↗ | Blanchard, O. J., & Quah, D. (1989). The dynamic effects of aggregate demand and supply disturbances. American Economic Review, 79(4), 655-673. link ↗ |
| Другие названия | break-SVAR, SVAR with regime change, structural break structural VAR, SB-SVAR | SVAR, structural vector autoregression, identified VAR, structural VAR model |
| Связанные≠ | 6 | 5 |
| Сводка≠ | The structural break SVAR model extends the standard Structural Vector Autoregression by allowing one or more discrete shifts in the system's parameters across time. It simultaneously identifies causal (structural) shocks and accounts for regime changes — such as policy shifts, crises, or institutional reforms — that alter the dynamics among multiple time series. | 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 данных ↗ |
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