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Modelo VAR de Fourier×Autoregressores Vetoriais (VAR)×
ÁreaEconometriaEconometria
FamíliaRegression modelRegression model
Ano de origem2010s1980
Autor originalEnders & Lee; extended by Nazlioglu and others to VAR systemsChristopher A. Sims
TipoMultivariate time-series modelMultivariate time-series model
Fonte seminalEnders, 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 ↗
Outros nomesFourier VAR, smooth structural break VAR, trigonometric VAR, Fourier-augmented VARVAR, VAR model, vector autoregressive model, multivariate autoregression
Relacionados65
ResumoThe 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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ScholarGateComparar métodos: Fourier VAR model · Vector Autoregression. Recuperado em 2026-06-17 de https://scholargate.app/pt/compare