ScholarGate
Asistent

Porovnat metody

Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.

Model nelineární strukturální vektorové autoregrese (NL-SVAR)×Nelineární model VAR×
OborEkonometrieEkonometrie
RodinaRegression modelRegression model
Rok vzniku1990s–2010s1990s–2000s
TvůrceExtensions by Koop, Potter, Auerbach, Gorodnichenko and othersTsay (1998); Krolzig (1997); Tong (1990) for threshold framework
TypMultivariate nonlinear structural time series modelMultivariate nonlinear time series model
Původní zdrojKoop, 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 ↗
Další názvynonlinear structural VAR, NL-SVAR, threshold SVAR, regime-switching SVARNLVAR, nonlinear vector autoregression, threshold VAR, TVAR
Příbuzné64
ShrnutíThe 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.
ScholarGateDatová sada
  1. v1
  2. 2 Zdroje
  3. PUBLISHED
  1. v1
  2. 2 Zdroje
  3. PUBLISHED

Přejít na hledání Stáhnout prezentaci

ScholarGatePorovnat metody: Nonlinear SVAR Model · Nonlinear VAR Model. Získáno 2026-06-17 z https://scholargate.app/cs/compare