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Bayesiansk Vektor Feilkorreksjonsmodell (Bayesian VECM)×Panel VECM (Panel Vector Error Correction Model)×
FagfeltØkonometriØkonometri
FamilieRegression modelRegression model
Opprinnelsesår2002–20051987–1995
OpphavspersonKleibergen & Paap; VillaniEngle & Granger (1987) for VECM; Holtz-Eakin, Newey & Rosen (1988) for panel VAR extension
TypeBayesian multivariate time series modelMultivariate dynamic panel model
Opprinnelig kildeKleibergen, F., & Paap, R. (2002). Priors, posteriors and Bayes factors for a Bayesian analysis of cointegration. Journal of Econometrics, 111(2), 223–249. DOI ↗Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276. DOI ↗
AliasBayesian VECM, B-VECM, Bayesian cointegrated VAR, Bayesian vector error correctionPanel VECM, panel vector error correction model, PVECM, panel cointegrating VAR
Relaterte55
SammendragThe Bayesian VECM combines the classical Vector Error Correction Model — which captures both short-run dynamics and long-run cointegrating relationships among non-stationary multivariate time series — with Bayesian prior distributions over the cointegrating rank and coefficient matrices. This allows principled uncertainty quantification, incorporation of economic theory as priors, and coherent inference even in small samples.Panel VECM combines vector error correction modelling with panel data, simultaneously capturing the long-run cointegrating equilibrium among multiple I(1) variables and their short-run adjustment dynamics across multiple cross-sectional units. It is the standard framework when panel variables share at least one common stochastic trend.
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ScholarGateSammenlign metoder: Bayesian VECM · Panel VECM. Hentet 2026-06-17 fra https://scholargate.app/no/compare