Сравнение на методи
Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| Панелен векторна авторегресия (Panel VAR)× | Структурна векторна авторегресия (SVAR)× | |
|---|---|---|
| Област | Иконометрия | Иконометрия |
| Семейство | Regression model | Regression model |
| Година на възникване≠ | 1988 | 1980 |
| Създател≠ | Holtz-Eakin, Newey & Rosen | Sims (1980); identification schemes by Blanchard & Quah (1989) |
| Тип≠ | Panel vector autoregression | Multivariate time series model |
| Основополагащ източник≠ | Holtz-Eakin, D., Newey, W. & Rosen, H. S. (1988). Estimating Vector Autoregressions with Panel Data. Econometrica, 56(6), 1371-1395. 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≠ | PVAR, panel vector autoregression, Panel VAR (PVAR) | SVAR, structural vector autoregression, identified VAR, structural VAR model |
| Свързани≠ | 3 | 5 |
| Резюме≠ | Panel VAR extends the vector autoregression model to panel data, modelling the dynamic interactions among several variables while controlling for cross-unit heterogeneity through fixed effects. It was introduced by Holtz-Eakin, Newey and Rosen in 1988 and produces impulse-response functions and variance decompositions at the panel level. | 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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