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Vetores Autorregressivos Aumentados por Fatores (FAVAR)×VAR com Limiar e VAR com Transição Suave (TVAR / STVAR)×
ÁreaEconometriaEconometria
FamíliaRegression modelRegression model
Ano de origem20051998
Autor originalBernanke, Boivin & Eliasz (2005); building on Stock & Watson diffusion indexesTsay (multivariate threshold modelling)
TipoMultivariate time-series modelNonlinear multivariate time-series model
Fonte seminalBernanke, B. S., Boivin, J. & Eliasz, P. (2005). Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach. The Quarterly Journal of Economics, 120(1), 387-422. DOI ↗Tsay, R. S. (1998). Testing and Modeling Multivariate Threshold Models. Journal of the American Statistical Association, 93(443), 1188-1202. DOI ↗
Outros nomesfactor-augmented VAR, FAVAR model, Faktör Artırımlı VAR (FAVAR)TVAR, STVAR, regime-switching VAR, threshold VAR
Relacionados45
ResumoFAVAR is a multivariate time-series model that first compresses information from a very large set of variables into a few common factors, then includes those factors alongside the observed variables in a vector autoregression. It was introduced by Bernanke, Boivin and Eliasz in 2005 to study monetary policy using hundreds of macroeconomic indicators at once.Threshold VAR and Smooth-Transition VAR are nonlinear multivariate time-series models in which the coefficients of a vector autoregression switch between regimes according to a threshold variable. Building on Tsay's 1998 treatment of multivariate threshold models, they capture different dynamic structures across phases such as the business cycle, financial crises, or policy differences.
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ScholarGateComparar métodos: FAVAR · Threshold and Smooth-Transition VAR. Recuperado em 2026-06-17 de https://scholargate.app/pt/compare