Compara mètodes

	Model vectorial d'error de correcció bayesià (Bayesian VECM)	Model de Correcció d'Errors en Format de Panell (Panel VECM)
Camp	Econometria	Econometria
Família	Regression model	Regression model
Any d'origen	2002–2005	1987–1995
Autor original	Kleibergen & Paap; Villani	Engle & Granger (1987) for VECM; Holtz-Eakin, Newey & Rosen (1988) for panel VAR extension
Tipus	Bayesian multivariate time series model	Multivariate dynamic panel model
Font seminal	Kleibergen, F., & Paap, R. (2002). Priors, posteriors and Bayes factors for a Bayesian analysis of cointegration. Journal of Econometrics, 111(2), 223–249.	Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276.
Àlies	Bayesian VECM, B-VECM, Bayesian cointegrated VAR, Bayesian vector error correction	Panel VECM, panel vector error correction model, PVECM, panel cointegrating VAR
Relacionats	5	5
Resum	The 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.