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| Model odporny strukturalny wektorowy autoregresji (Robust SVAR)× | Wektorowa Autoregresja Strukturalna (SVAR)× | |
|---|---|---|
| Dziedzina | Ekonometria | Ekonometria |
| Rodzina | Regression model | Regression model |
| Rok powstania≠ | 2000s–2010s | 1980 |
| Twórca≠ | Extension of Sims (1980) SVAR with robust inference methods | Sims (1980); identification schemes by Blanchard & Quah (1989) |
| Typ≠ | Structural time series model | Multivariate time series model |
| Źródło pierwotne≠ | Lutkepohl, H. (2005). New Introduction to Multiple Time Series Analysis. Springer. ISBN: 978-3540401728 | Blanchard, O. J., & Quah, D. (1989). The dynamic effects of aggregate demand and supply disturbances. American Economic Review, 79(4), 655-673. link ↗ |
| Inne nazwy | robust SVAR, robust structural VAR, heteroscedasticity-robust SVAR, outlier-robust structural VAR | SVAR, structural vector autoregression, identified VAR, structural VAR model |
| Pokrewne≠ | 6 | 5 |
| Podsumowanie≠ | The Robust SVAR model extends the classical Structural VAR framework by incorporating robust estimation and inference methods that remain valid in the presence of heteroscedasticity, non-Gaussian errors, or outliers. By combining structural identification with robust statistical procedures, it produces reliable impulse responses and forecast error variance decompositions even when standard SVAR assumptions are violated in macroeconomic data. | 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. |
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