Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Função de Resposta a Impulso (IRF)× | Autoregressores Vetoriais Estruturais (SVAR)× | Modelo de Vetores Autorregressivos (VAR)× | |
|---|---|---|---|
| Área | Econometria | Econometria | Econometria |
| Família | Regression model | Regression model | Regression model |
| Ano de origem≠ | 2005 | 1980 | 2005 |
| Autor original≠ | Helmut Lütkepohl | Christopher Sims | Lütkepohl (textbook treatment); Sims (1980) macroeconometric tradition |
| Tipo≠ | Post-estimation diagnostic | Structural multivariate time-series model | Multivariate time-series model |
| Fonte seminal≠ | Lütkepohl, H. (2005). New Introduction to Multiple Time Series Analysis. Springer. ISBN: 978-3-540-40172-8 | Sims, C. A. (1980). Macroeconomics and reality. Econometrica, 48(1), 1–48. DOI ↗ | Lütkepohl, H. (2005). New Introduction to Multiple Time Series Analysis. Springer. DOI ↗ |
| Outros nomes | IRF, Dynamic Multiplier, Shock Response Function, Etki Tepki Fonksiyonu | Structural VAR, Identified VAR, SVAR Model, Yapısal Vektör Otoregresyon | vector autoregression, VAR, VAR Modeli (Vektör Otoregresyon), vektör otoregresyon |
| Relacionados≠ | 3 | 2 | 4 |
| Resumo≠ | 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. | Structural Vector Autoregression (SVAR) is a multivariate time-series model, developed by Christopher Sims (1980), that extends the reduced-form VAR by imposing economically motivated identifying restrictions on contemporaneous relationships among variables. SVAR enables researchers to isolate orthogonal structural shocks and trace their causal dynamic effects through impulse response functions and forecast error variance decompositions, making it a cornerstone of modern empirical macroeconomics. | Vector Autoregression is a multivariate time-series model that treats several interdependent series symmetrically, letting each variable depend on its own past values and the past values of all the others. It is the standard tool for capturing mutual causality and joint dynamics, developed in the modern multiple-time-series tradition treated by Lütkepohl (2005). |
| ScholarGateConjunto de dados ↗ |
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