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| Векторна авторегресия (VAR)× | Структурна векторна авторегресия (SVAR)× | |
|---|---|---|
| Област | Иконометрия | Иконометрия |
| Семейство | Regression model | Regression model |
| Година на възникване | 1980 | 1980 |
| Създател≠ | Christopher A. Sims | Sims (1980); identification schemes by Blanchard & Quah (1989) |
| Тип≠ | Multivariate time-series model | Multivariate time series model |
| Основополагащ източник≠ | 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 ↗ |
| Други названия | VAR, VAR model, vector autoregressive model, multivariate autoregression | SVAR, structural vector autoregression, identified VAR, structural VAR model |
| Свързани | 5 | 5 |
| Резюме≠ | 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. | 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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