Vertaile menetelmiä
Tarkastele valitsemiasi menetelmiä rinnakkain; eroavat rivit korostetaan.
| Robustin vektorianalyysimalli (Robust VAR)× | Rakenteellinen vektoritodennäköisyysautoregressio (SVAR)× | |
|---|---|---|
| Tieteenala | Ekonometria | Ekonometria |
| Menetelmäperhe | Regression model | Regression model |
| Syntyvuosi≠ | 1980s–2000s | 1980 |
| Kehittäjä≠ | Extensions by Lutkepohl and others building on Sims (1980) VAR framework | Sims (1980); identification schemes by Blanchard & Quah (1989) |
| Tyyppi≠ | Multivariate time-series model with robust estimation | Multivariate time series model |
| Alkuperäislähde≠ | 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 ↗ |
| Rinnakkaisnimet | robust VAR, outlier-robust VAR, heavy-tailed VAR, RVAR | SVAR, structural vector autoregression, identified VAR, structural VAR model |
| Liittyvät | 5 | 5 |
| Tiivistelmä≠ | 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. |
| ScholarGateAineisto ↗ |
|
|