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Markov-Regime-Switching-Modell (MS-AR / MS-VAR)×Vektorautoregression (VAR)×
FachgebietÖkonometrieÖkonometrie
FamilieRegression modelRegression model
Entstehungsjahr19891980
UrheberHamilton (1989); Kim & Nelson (1999)Christopher A. Sims
TypRegime-switching time series modelMultivariate time-series model
Wegweisende QuelleHamilton, J. D. (1989). A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle. Econometrica, 57(2), 357-384. DOI ↗Sims, C. A. (1980). Macroeconomics and Reality. Econometrica, 48(1), 1–48. DOI ↗
Aliasnamenregime-switching model, Markov-switching autoregression, MS-AR, MS-VARVAR, VAR model, vector autoregressive model, multivariate autoregression
Verwandt55
ZusammenfassungThe 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.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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ScholarGateMethoden vergleichen: Markov-Switching Model · Vector Autoregression. Abgerufen am 2026-06-17 von https://scholargate.app/de/compare