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Modelo de Vetor Autoregressivo Estrutural de Fourier (Fourier SVAR)×Modelo de Vetores Autorregressivos (VAR)×
ÁreaEconometriaEconometria
FamíliaRegression modelRegression model
Ano de origem2010s2005
Autor originalExtension of Sims (1980) SVAR framework with Fourier-series smoothing, developed across multiple authors in 2010sLütkepohl (textbook treatment); Sims (1980) macroeconometric tradition
TipoStructural 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 ↗Lütkepohl, H. (2005). New Introduction to Multiple Time Series Analysis. Springer. DOI ↗
Outros nomesFourier SVAR, Fourier structural VAR, Fourier-approximation SVAR, frequency-domain SVARvector autoregression, VAR, VAR Modeli (Vektör Otoregresyon), vektör otoregresyon
Relacionados34
ResumoThe Fourier SVAR model integrates Fourier series approximations into the structural VAR framework, allowing the model to capture smooth, gradual structural breaks and time-varying dynamics in multivariate time series without requiring a priori knowledge of break dates. It recovers structural shocks and their propagation effects while remaining robust to low-frequency parameter drift.Vector Autoregression is a multivariate time-series model that treats several interdependent series symmetrically, letting each variable depend on its own past values and the past values of all the others. It is the standard tool for capturing mutual causality and joint dynamics, developed in the modern multiple-time-series tradition treated by Lütkepohl (2005).
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ScholarGateComparar métodos: Fourier SVAR Model · VAR Model. Recuperado em 2026-06-18 de https://scholargate.app/pt/compare