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Model VAR Struktur Bayesian (B-SVAR)×Ujian Had Bayesian ARDL×
BidangEkonometrikEkonometrik
KeluargaRegression modelRegression model
Tahun asal1998–20052001 (ARDL); Bayesian extension 2010s
PengasasSims & Zha (1998); Uhlig (2005) for sign-restriction identificationPesaran, Shin & Smith (ARDL framework, 2001); Bayesian adaptation by subsequent literature
JenisStructural multivariate time-series modelCointegration / bounds testing
Sumber perintisSims, 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 ↗
AliasBayesian SVAR, B-SVAR, Bayesian structural VAR, Bayesian identified VARBayesian ARDL, Bayesian bounds testing approach, Bayes ARDL cointegration, Bayesian PSS bounds test
Berkaitan65
RingkasanThe 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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ScholarGateBandingkan kaedah: Bayesian SVAR model · Bayesian ARDL Bounds Test. Dicapai 2026-06-17 daripada https://scholargate.app/ms/compare