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Vector Autoregression (VAR)×구조적 벡터 자기회귀 (SVAR)×
분야계량경제학계량경제학
계열Regression modelRegression model
기원 연도19801980
창시자Christopher A. SimsSims (1980); identification schemes by Blanchard & Quah (1989)
유형Multivariate time-series modelMultivariate time series model
원전Sims, C. A. (1980). Macroeconomics and Reality. Econometrica, 48(1), 1–48. DOI ↗Blanchard, O. J., & Quah, D. (1989). The dynamic effects of aggregate demand and supply disturbances. American Economic Review, 79(4), 655-673. link ↗
별칭VAR, VAR model, vector autoregressive model, multivariate autoregressionSVAR, structural vector autoregression, identified VAR, structural VAR model
관련55
요약Vector Autoregression is a multivariate time-series model in which each variable is regressed on its own lags and the lags of all other variables in the system. Originally proposed by Sims (1980) as a data-driven alternative to large structural macroeconomic models, VAR has become the standard workhorse for dynamic analysis in empirical economics and finance.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.
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