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Tidsvarierende parameter VAR-model (TVP-VAR)×Strukturel Vektor Autoregression (SVAR)×
FagområdeØkonometriØkonometri
FamilieRegression modelRegression model
Oprindelsesår20051980
OphavspersonPrimiceri (2005); Cogley & Sargent (2001, 2005)Sims (1980); identification schemes by Blanchard & Quah (1989)
TypeMultivariate time-series model with drifting coefficientsMultivariate time series model
Oprindelig kildePrimiceri, G. E. (2005). Time varying structural vector autoregressions and monetary policy. Review of Economic Studies, 72(3), 821-852. DOI ↗Blanchard, O. J., & Quah, D. (1989). The dynamic effects of aggregate demand and supply disturbances. American Economic Review, 79(4), 655-673. link ↗
AliasserTVP-VAR, time-varying VAR, TV-VAR, drifting-coefficient VARSVAR, structural vector autoregression, identified VAR, structural VAR model
Relaterede65
ResuméThe Time-Varying Parameter VAR (TVP-VAR) model extends the standard vector autoregression by allowing the coefficients and error covariances to evolve gradually over time. Estimated via Bayesian methods and MCMC simulation, it captures how dynamic relationships between macroeconomic or financial variables shift across different economic regimes without requiring pre-specified break points.Structural VAR extends the reduced-form VAR by imposing economic theory-based restrictions that identify orthogonal structural shocks. This allows researchers to disentangle the causal effects of distinct economic disturbances — such as supply versus demand shocks — and trace their dynamic propagation through a system of variables via impulse response functions and forecast error variance decompositions.
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ScholarGateSammenlign metoder: Time-varying parameter VAR model · Structural VAR. Hentet 2026-06-17 fra https://scholargate.app/da/compare