Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Модель структурного розриву SVAR× | Векторна модель корекції помилок (VECM)× | |
|---|---|---|
| Галузь | Економетрика | Економетрика |
| Родина | Regression model | Regression model |
| Рік появи≠ | 1980–2000s | 1987 |
| Автор методу≠ | Sims (1980) for SVAR; structural break extensions developed throughout 1990s–2000s | Robert F. Engle and Clive W. J. Granger |
| Тип≠ | Multivariate time-series model with regime change | Multivariate time-series model |
| Основоположне джерело≠ | Sims, C. A. (1980). Macroeconomics and reality. Econometrica, 48(1), 1–48. DOI ↗ | Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276. DOI ↗ |
| Інші назви | break-SVAR, SVAR with regime change, structural break structural VAR, SB-SVAR | VECM, error correction VAR, cointegrated VAR, vector equilibrium correction model |
| Пов'язані≠ | 6 | 5 |
| Підсумок≠ | The structural break SVAR model extends the standard Structural Vector Autoregression by allowing one or more discrete shifts in the system's parameters across time. It simultaneously identifies causal (structural) shocks and accounts for regime changes — such as policy shifts, crises, or institutional reforms — that alter the dynamics among multiple time series. | The Vector Error Correction Model extends the Vector Autoregression (VAR) framework to a system of variables that share one or more long-run equilibrium relationships. It jointly models short-run dynamics and the speed at which each variable corrects back toward equilibrium after a shock, making it the standard tool for analysing cointegrated multivariate time series. |
| ScholarGateНабір даних ↗ |
|
|