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Bayesov strukturni VAR (B-SVAR) model×Bayesov ARDL test graničnih vrijednosti×
PodručjeEkonometrijaEkonometrija
ObiteljRegression modelRegression model
Godina nastanka1998–20052001 (ARDL); Bayesian extension 2010s
TvoracSims & Zha (1998); Uhlig (2005) for sign-restriction identificationPesaran, Shin & Smith (ARDL framework, 2001); Bayesian adaptation by subsequent literature
VrstaStructural multivariate time-series modelCointegration / bounds testing
Temeljni izvorSims, C. A., & Zha, T. (1998). Bayesian methods for dynamic multivariate models. International Economic Review, 39(4), 949–968. 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 naziviBayesian SVAR, B-SVAR, Bayesian structural VAR, Bayesian identified VARBayesian ARDL, Bayesian bounds testing approach, Bayes ARDL cointegration, Bayesian PSS bounds test
Srodne65
SažetakThe Bayesian Structural Vector Autoregression model combines the structural identification of SVAR with Bayesian prior distributions over parameters. It estimates causal impulse responses between multiple time series while incorporating prior economic knowledge and producing full posterior uncertainty bands rather than point estimates alone.The Bayesian ARDL Bounds Test extends the classical Pesaran-Shin-Smith (2001) bounds testing approach to cointegration by embedding it within a Bayesian inferential framework. Instead of relying on frequentist F- and t-statistics with tabulated critical values, the researcher specifies prior distributions on the model parameters and derives posterior evidence of a long-run level relationship between variables that may be integrated of order zero or one.
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ScholarGateUsporedite metode: Bayesian SVAR model · Bayesian ARDL Bounds Test. Preuzeto 2026-06-17 s https://scholargate.app/hr/compare