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Model vektorske autoregresije sa vremenski promenljivim parametrima (TVP-VAR)×Test granica ARDL sa vremenski promenljivim parametrima×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka20052010s
TvoracPrimiceri (2005); Cogley & Sargent (2001, 2005)Extension of Pesaran, Shin & Smith (2001); TVP variant developed in applied time-series literature ca. 2010s
TipMultivariate time-series model with drifting coefficientsCointegration / bounds test with time-varying coefficients
Temeljni izvorPrimiceri, G. E. (2005). Time varying structural vector autoregressions and monetary policy. Review of Economic Studies, 72(3), 821-852. DOI ↗Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289–326. DOI ↗
Drugi naziviTVP-VAR, time-varying VAR, TV-VAR, drifting-coefficient VARTVP-ARDL bounds test, time-varying ARDL cointegration, TVP bounds testing approach, dynamic ARDL bounds test
Srodne62
SažetakThe 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.The time-varying parameter ARDL bounds test extends the classic Pesaran-Shin-Smith (2001) bounds testing framework by allowing regression coefficients to evolve continuously over time. It detects whether a long-run cointegrating relationship between variables exists and whether that relationship has been stable or shifting across the sample period.
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ScholarGateUporedite metode: Time-varying parameter VAR model · Time-varying parameter ARDL bounds test. Preuzeto 2026-06-18 sa https://scholargate.app/sr/compare