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مدل خودرگرسیون برداری ساختاری غیرخطی (NL-SVAR)×مدل خودرگرسیون برداری غیرخطی (Nonlinear VAR Model)×
حوزهاقتصادسنجیاقتصادسنجی
خانوادهRegression modelRegression model
سال پیدایش1990s–2010s1990s–2000s
پدیدآورExtensions by Koop, Potter, Auerbach, Gorodnichenko and othersTsay (1998); Krolzig (1997); Tong (1990) for threshold framework
نوعMultivariate nonlinear structural time series modelMultivariate nonlinear time series model
منبع بنیادینKoop, G., & Korobilis, D. (2010). Bayesian multivariate time series methods for empirical macroeconomics. Foundations and Trends in Econometrics, 3(4), 267–358. DOI ↗Tsay, R. S. (1998). Testing and modeling multivariate threshold models. Journal of the American Statistical Association, 93(443), 1188–1202. DOI ↗
نام‌های دیگرnonlinear structural VAR, NL-SVAR, threshold SVAR, regime-switching SVARNLVAR, nonlinear vector autoregression, threshold VAR, TVAR
مرتبط64
خلاصهThe 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 Nonlinear VAR (NLVAR) model extends the standard vector autoregression by allowing the dynamic relationships among multiple time series to switch or change smoothly depending on an observed threshold variable, a latent regime state, or a smooth transition function. It is used when economic systems exhibit asymmetric responses, regime shifts, or state-dependent dynamics that a linear VAR cannot capture.
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ScholarGateمقایسهٔ روش‌ها: Nonlinear SVAR Model · Nonlinear VAR Model. بازیابی‌شده در 2026-06-17 از https://scholargate.app/fa/compare