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Нелинеен структурен векторен авторегресионен (NL-SVAR) модел×Векторен модел за корекция на грешки (VECM)×
ОбластИконометрияИконометрия
СемействоRegression modelRegression model
Година на възникване1990s–2010s1987
СъздателExtensions by Koop, Potter, Auerbach, Gorodnichenko and othersRobert F. Engle and Clive W. J. Granger
ТипMultivariate nonlinear structural time series modelMultivariate time-series model
Основополагащ източникKoop, G., & Korobilis, D. (2010). Bayesian multivariate time series methods for empirical macroeconomics. Foundations and Trends in Econometrics, 3(4), 267–358. DOI ↗Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276. DOI ↗
Други названияnonlinear structural VAR, NL-SVAR, threshold SVAR, regime-switching SVARVECM, error correction VAR, cointegrated VAR, vector equilibrium correction model
Свързани65
РезюмеThe Nonlinear Structural VAR model extends the standard SVAR framework to allow structural relationships and dynamic responses to vary across economic regimes or states of the world. By imposing nonlinear transition mechanisms — such as threshold switching or smooth regime change — it captures asymmetric responses to shocks that a linear SVAR cannot detect.The Vector Error Correction Model extends the Vector Autoregression (VAR) framework to a system of variables that share one or more long-run equilibrium relationships. It jointly models short-run dynamics and the speed at which each variable corrects back toward equilibrium after a shock, making it the standard tool for analysing cointegrated multivariate time series.
ScholarGateНабор от данни
  1. v1
  2. 2 Източници
  3. PUBLISHED
  1. v1
  2. 2 Източници
  3. PUBLISHED

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ScholarGateСравнение на методи: Nonlinear SVAR Model · Vector Error Correction Model. Извлечено на 2026-06-15 от https://scholargate.app/bg/compare