Σύγκριση μεθόδων

	Μοντέλο Διανυσματικής Αυτοπαλινδρόμησης Δομής Πάνελ (Panel SVAR)	Μοντέλο Διόρθωσης Σφαλμάτων Διανυσμάτων σε Πάνελ (Panel VECM)
Πεδίο	Οικονομετρία	Οικονομετρία
Οικογένεια	Regression model	Regression model
Έτος προέλευσης	2004 (panel extension); 1986 (SVAR origins)	1987–1995
Δημιουργός	Canova & Ciccarelli; Bernanke (SVAR identification)	Engle & Granger (1987) for VECM; Holtz-Eakin, Newey & Rosen (1988) for panel VAR extension
Τύπος	Multivariate time-series model with structural identification	Multivariate dynamic panel model
Θεμελιώδης πηγή	Canova, F., & Ciccarelli, M. (2004). Forecasting and turning point predictions in a Bayesian panel VAR model. Journal of Econometrics, 120(2), 327-359.	Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276.
Εναλλακτικές ονομασίες	Panel SVAR, PSVAR, Structural Panel VAR, Panel Structural VAR	Panel VECM, panel vector error correction model, PVECM, panel cointegrating VAR
Συναφείς	5	5
Σύνοψη	The Panel SVAR model extends the Structural VAR framework to panel data, jointly modelling multiple endogenous time-series variables across several cross-sectional units (e.g., countries or firms). Structural restrictions — short-run, long-run, or sign restrictions — are imposed on the contemporaneous relationships among variables to identify economically meaningful causal shocks and trace their propagation across units and time.	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.