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| Модель стійкого структурного векторного авторегресійного аналізу (Robust SVAR)× | Векторна авторегресія (VAR)× | |
|---|---|---|
| Галузь | Економетрика | Економетрика |
| Родина | Regression model | Regression model |
| Рік появи≠ | 2000s–2010s | 1980 |
| Автор методу≠ | Extension of Sims (1980) SVAR with robust inference methods | Christopher A. Sims |
| Тип≠ | Structural time series model | Multivariate time-series model |
| Основоположне джерело≠ | Lutkepohl, H. (2005). New Introduction to Multiple Time Series Analysis. Springer. ISBN: 978-3540401728 | Sims, C. A. (1980). Macroeconomics and Reality. Econometrica, 48(1), 1–48. DOI ↗ |
| Інші назви | robust SVAR, robust structural VAR, heteroscedasticity-robust SVAR, outlier-robust structural VAR | VAR, VAR model, vector autoregressive model, multivariate autoregression |
| Пов'язані≠ | 6 | 5 |
| Підсумок≠ | 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. | Vector Autoregression is a multivariate time-series model in which each variable is regressed on its own lags and the lags of all other variables in the system. Originally proposed by Sims (1980) as a data-driven alternative to large structural macroeconomic models, VAR has become the standard workhorse for dynamic analysis in empirical economics and finance. |
| ScholarGateНабір даних ↗ |
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