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Funkcia impulznej odozvy (IRF)׊trukturálna vektorová autoregresia (SVAR)×
OdborEkonometriaEkonometria
RodinaRegression modelRegression model
Rok vzniku20051980
TvorcaHelmut LütkepohlChristopher Sims
TypPost-estimation diagnosticStructural multivariate time-series model
Pôvodný zdrojLütkepohl, H. (2005). New Introduction to Multiple Time Series Analysis. Springer. ISBN: 978-3-540-40172-8Sims, C. A. (1980). Macroeconomics and reality. Econometrica, 48(1), 1–48. DOI ↗
Ďalšie názvyIRF, Dynamic Multiplier, Shock Response Function, Etki Tepki FonksiyonuStructural VAR, Identified VAR, SVAR Model, Yapısal Vektör Otoregresyon
Príbuzné32
ZhrnutieThe 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.
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ScholarGatePorovnať metódy: Impulse Response Function · SVAR. Získané 2026-06-15 z https://scholargate.app/sk/compare