手法を比較
選択した手法を並べて確認できます。異なる行はハイライト表示されます。
| マルコフ体制スイッチングモデル (MS-AR / MS-VAR)× | ベクトル自己回帰(VAR)モデル× | |
|---|---|---|
| 分野 | 計量経済学 | 計量経済学 |
| 系統 | Regression model | Regression model |
| 提唱年≠ | 1989 | 2005 |
| 提唱者≠ | Hamilton (1989); Kim & Nelson (1999) | Lütkepohl (textbook treatment); Sims (1980) macroeconometric tradition |
| 種類≠ | Regime-switching time series model | Multivariate time-series model |
| 原典≠ | 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 ↗ | Lütkepohl, H. (2005). New Introduction to Multiple Time Series Analysis. Springer. DOI ↗ |
| 別名≠ | regime-switching model, Markov-switching autoregression, MS-AR, MS-VAR | vector autoregression, VAR, VAR Modeli (Vektör Otoregresyon), vektör otoregresyon |
| 関連≠ | 5 | 4 |
| 概要≠ | 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. | Vector Autoregression is a multivariate time-series model that treats several interdependent series symmetrically, letting each variable depend on its own past values and the past values of all the others. It is the standard tool for capturing mutual causality and joint dynamics, developed in the modern multiple-time-series tradition treated by Lütkepohl (2005). |
| ScholarGateデータセット ↗ |
|
|