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Модель панельной структурной векторной авторегрессии (Panel SVAR)×Векторная авторегрессия (VAR)×
ОбластьЭконометрикаЭконометрика
СемействоRegression modelRegression model
Год появления2004 (panel extension); 1986 (SVAR origins)1980
Автор методаCanova & Ciccarelli; Bernanke (SVAR identification)Christopher A. Sims
ТипMultivariate time-series model with structural identificationMultivariate time-series model
Основополагающий источникCanova, F., & Ciccarelli, M. (2004). Forecasting and turning point predictions in a Bayesian panel VAR model. Journal of Econometrics, 120(2), 327-359. DOI ↗Sims, C. A. (1980). Macroeconomics and Reality. Econometrica, 48(1), 1–48. DOI ↗
Другие названияPanel SVAR, PSVAR, Structural Panel VAR, Panel Structural VARVAR, VAR model, vector autoregressive model, multivariate autoregression
Связанные55
СводкаThe 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.Vector 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.
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ScholarGateСравнение методов: Panel SVAR model · Vector Autoregression. Получено 2026-06-17 из https://scholargate.app/ru/compare