পদ্ধতির তুলনা করুন

	বেয়েশীয় ভেক্টর ত্রুটি সংশোধন মডেল (Bayesian VECM)	কাঠামোগত ভেক্টর অটোরিগ্রেশন (SVAR)
ক্ষেত্র	অর্থমিতি	অর্থমিতি
পরিবার	Regression model	Regression model
উদ্ভবের বছর	2002–2005	1980
প্রবর্তক	Kleibergen & Paap; Villani	Sims (1980); identification schemes by Blanchard & Quah (1989)
ধরন	Bayesian multivariate time series model	Multivariate time series model
মৌলিক উৎস	Kleibergen, F., & Paap, R. (2002). Priors, posteriors and Bayes factors for a Bayesian analysis of cointegration. Journal of Econometrics, 111(2), 223–249.	Blanchard, O. J., & Quah, D. (1989). The dynamic effects of aggregate demand and supply disturbances. American Economic Review, 79(4), 655-673.
অপর নাম	Bayesian VECM, B-VECM, Bayesian cointegrated VAR, Bayesian vector error correction	SVAR, structural vector autoregression, identified VAR, structural VAR model
সম্পর্কিত	5	5
সারসংক্ষেপ	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.	Structural VAR extends the reduced-form VAR by imposing economic theory-based restrictions that identify orthogonal structural shocks. This allows researchers to disentangle the causal effects of distinct economic disturbances — such as supply versus demand shocks — and trace their dynamic propagation through a system of variables via impulse response functions and forecast error variance decompositions.