Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Mfumo wa Modelu wa Vector Autoregression Imara (Robust VAR)× | Urejeshaji wa Vekta wa Kimuundo (SVAR)× | |
|---|---|---|
| Nyanja | Ekonometriki | Ekonometriki |
| Familia | Regression model | Regression model |
| Mwaka wa asili≠ | 1980s–2000s | 1980 |
| Mwanzilishi≠ | Extensions by Lutkepohl and others building on Sims (1980) VAR framework | Sims (1980); identification schemes by Blanchard & Quah (1989) |
| Aina≠ | Multivariate time-series model with robust estimation | Multivariate time series model |
| Chanzo asilia≠ | Goncalves, S., & Kilian, L. (2004). Bootstrapping autoregressions with conditional heteroskedasticity of unknown form. Journal of Econometrics, 123(1), 89-120. DOI ↗ | Blanchard, O. J., & Quah, D. (1989). The dynamic effects of aggregate demand and supply disturbances. American Economic Review, 79(4), 655-673. link ↗ |
| Majina mbadala | robust VAR, outlier-robust VAR, heavy-tailed VAR, RVAR | SVAR, structural vector autoregression, identified VAR, structural VAR model |
| Zinazohusiana | 5 | 5 |
| Muhtasari≠ | 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. | 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. |
| ScholarGateSeti ya data ↗ |
|
|