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Model Markovova přepínání režimů (MS-AR / MS-VAR)×Vektorová autoregrese s prahovým přechodem (TVAR) a s hladkým přechodem (STVAR)×
OborEkonometrieEkonometrie
RodinaRegression modelRegression model
Rok vzniku19891998
TvůrceHamilton (1989); Kim & Nelson (1999)Tsay (multivariate threshold modelling)
TypRegime-switching time series modelNonlinear multivariate time-series model
Původní zdrojHamilton, J. D. (1989). A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle. Econometrica, 57(2), 357-384. DOI ↗Tsay, R. S. (1998). Testing and Modeling Multivariate Threshold Models. Journal of the American Statistical Association, 93(443), 1188-1202. DOI ↗
Další názvyregime-switching model, Markov-switching autoregression, MS-AR, MS-VARTVAR, STVAR, regime-switching VAR, threshold VAR
Příbuzné55
ShrnutíThe Markov regime-switching model lets the parameters of a time series change probabilistically across hidden regimes governed by a Markov chain. Introduced by Hamilton (1989) and developed further by Kim and Nelson (1999), it automatically detects business-cycle phases such as expansions and contractions.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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ScholarGatePorovnat metody: Markov-Switching Model · Threshold and Smooth-Transition VAR. Získáno 2026-06-19 z https://scholargate.app/cs/compare