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Icke-linjärt VAR-modell×Vektorautoregression (VAR)×
ÄmnesområdeEkonometriEkonometri
FamiljRegression modelRegression model
Ursprungsår1990s–2000s1980
UpphovspersonTsay (1998); Krolzig (1997); Tong (1990) for threshold frameworkChristopher A. Sims
TypMultivariate nonlinear time series modelMultivariate time-series model
UrsprungskällaTsay, R. S. (1998). Testing and modeling multivariate threshold models. Journal of the American Statistical Association, 93(443), 1188–1202. DOI ↗Sims, C. A. (1980). Macroeconomics and Reality. Econometrica, 48(1), 1–48. DOI ↗
AliasNLVAR, nonlinear vector autoregression, threshold VAR, TVARVAR, VAR model, vector autoregressive model, multivariate autoregression
Närliggande45
SammanfattningThe 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.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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ScholarGateJämför metoder: Nonlinear VAR Model · Vector Autoregression. Hämtad 2026-06-17 från https://scholargate.app/sv/compare