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Fourier VAR-model×Vektorautoregression (VAR)×
FagområdeØkonometriØkonometri
FamilieRegression modelRegression model
Oprindelsesår2010s1980
OphavspersonEnders & Lee; extended by Nazlioglu and others to VAR systemsChristopher A. Sims
TypeMultivariate time-series modelMultivariate time-series model
Oprindelig kildeEnders, W., & Lee, J. (2012). A unit root test using a Fourier series to approximate smooth breaks. Oxford Bulletin of Economics and Statistics, 74(4), 574-599. DOI ↗Sims, C. A. (1980). Macroeconomics and Reality. Econometrica, 48(1), 1–48. DOI ↗
AliasserFourier VAR, smooth structural break VAR, trigonometric VAR, Fourier-augmented VARVAR, VAR model, vector autoregressive model, multivariate autoregression
Relaterede65
ResuméThe Fourier VAR model extends the standard Vector Autoregression by replacing fixed deterministic terms with Fourier trigonometric components, allowing the intercept (and optionally the trend) to shift gradually and smoothly over time. This eliminates the need to pre-specify the number, timing, or shape of structural breaks in a multivariate time-series system.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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ScholarGateSammenlign metoder: Fourier VAR model · Vector Autoregression. Hentet 2026-06-17 fra https://scholargate.app/da/compare