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ベイズ型ベクトル自己回帰(BVAR)×マルコフ体制スイッチングモデル (MS-AR / MS-VAR)×閾値およびスムーズ遷移VAR(TVAR / STVAR)×
分野計量経済学計量経済学計量経済学
系統Regression modelRegression modelRegression model
提唱年198619891998
提唱者Litterman (1986); Bańbura, Giannone & Reichlin (2010)Hamilton (1989); Kim & Nelson (1999)Tsay (multivariate threshold modelling)
種類Bayesian multivariate time-series modelRegime-switching time series modelNonlinear multivariate time-series model
原典Litterman, R. B. (1986). Forecasting with Bayesian Vector Autoregressions—Five Years of Experience. Journal of Business & Economic Statistics, 4(1), 25-38. DOI ↗Hamilton, 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 ↗
別名BVAR, Bayesian vector autoregression, Minnesota prior VAR, Bayesian VAR (BVAR)regime-switching model, Markov-switching autoregression, MS-AR, MS-VARTVAR, STVAR, regime-switching VAR, threshold VAR
関連555
概要Bayesian VAR adds Minnesota or other prior distributions to a vector autoregressive model to control over-parameterisation. Introduced by Litterman (1986) and extended to high dimensions by Bańbura, Giannone and Reichlin (2010), it outperforms classical VAR on short series and high-dimensional macroeconomic forecasts.The 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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ScholarGate手法を比較: Bayesian VAR · Markov-Switching Model · Threshold and Smooth-Transition VAR. 2026-06-19に以下より取得 https://scholargate.app/ja/compare