Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Descomposición de la Varianza del Error de Pronóstico (FEVD)× | Función de Respuesta al Impulso (FRI)× | |
|---|---|---|
| Campo | Econometría | Econometría |
| Familia | Regression model | Regression model |
| Año de origen | 2005 | 2005 |
| Autor original | Helmut Lütkepohl | Helmut Lütkepohl |
| Tipo≠ | Multivariate time series analysis tool | Post-estimation diagnostic |
| Fuente seminal | Lütkepohl, H. (2005). New Introduction to Multiple Time Series Analysis. Springer. ISBN: 978-3-540-40172-8 | Lütkepohl, H. (2005). New Introduction to Multiple Time Series Analysis. Springer. ISBN: 978-3-540-40172-8 |
| Alias | Variance Decomposition, Error Variance Decomposition, VD Analysis, Varyans Ayrıştırması | IRF, Dynamic Multiplier, Shock Response Function, Etki Tepki Fonksiyonu |
| Relacionados | 3 | 3 |
| Resumen≠ | Forecast Error Variance Decomposition (FEVD) is a multivariate time series technique used within Vector Autoregression (VAR) frameworks to quantify what proportion of the forecast error variance of each variable is attributable to shocks from every other variable in the system. It is widely used by econometricians, macroeconomists, and financial researchers to assess the relative importance of different structural disturbances in driving short-run and long-run fluctuations across interconnected economic series. | The Impulse Response Function (IRF) traces the dynamic response of each variable in a Vector Autoregression (VAR) system to a one-unit shock in one of its error terms over a user-specified forecast horizon. It is the primary tool for structural analysis following VAR estimation and is widely used in macroeconomics, monetary economics, and finance to quantify how shocks propagate through interconnected time series systems. |
| ScholarGateConjunto de datos ↗ |
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