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Fourier VAR-modell×Vektorautoregression (VAR)×
ÄmnesområdeEkonometriEkonometri
FamiljRegression modelRegression model
Ursprungsår2010s1980
UpphovspersonEnders & Lee; extended by Nazlioglu and others to VAR systemsChristopher A. Sims
TypMultivariate time-series modelMultivariate time-series model
UrsprungskällaEnders, 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 ↗
AliasFourier VAR, smooth structural break VAR, trigonometric VAR, Fourier-augmented VARVAR, VAR model, vector autoregressive model, multivariate autoregression
Närliggande65
SammanfattningThe 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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ScholarGateJämför metoder: Fourier VAR model · Vector Autoregression. Hämtad 2026-06-18 från https://scholargate.app/sv/compare