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Markovljev model promene režima (MS-AR / MS-VAR)×Strukturni model vremenskih serija (Osnovni strukturni model)×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka19891990
TvoracHamilton (1989); Kim & Nelson (1999)Andrew C. Harvey
TipRegime-switching time series modelState-space (unobserved components) time series model
Temeljni izvorHamilton, J. D. (1989). A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle. Econometrica, 57(2), 357-384. DOI ↗Harvey, A. C. (1990). Forecasting, Structural Time Series Models and the Kalman Filter. Cambridge University Press. ISBN: 978-0521405737
Drugi naziviregime-switching model, Markov-switching autoregression, MS-AR, MS-VARBSM, basic structural model, unobserved components model, Yapısal Zaman Serisi Modeli (BSM)
Srodne54
SažetakThe 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.The Structural Time Series Model, in its Basic Structural Model (BSM) form, is Andrew Harvey's state-space approach that decomposes a series into separate stochastic trend, seasonal, cyclical, and irregular components. Developed in Harvey's 1990 treatment, it is prized for interpretability and component decomposition where ARIMA only delivers a black-box fit.
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ScholarGateUporedite metode: Markov-Switching Model · Structural Time Series Model. Preuzeto 2026-06-19 sa https://scholargate.app/sr/compare