Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Markov režīmu pārslēgšanās modelis (MS-AR / MS-VAR)× | Kopneses un gludās pārejas VAR (TVAR / STVAR)× | |
|---|---|---|
| Nozare | Ekonometrija | Ekonometrija |
| Saime | Regression model | Regression model |
| Izcelsmes gads≠ | 1989 | 1998 |
| Autors≠ | Hamilton (1989); Kim & Nelson (1999) | Tsay (multivariate threshold modelling) |
| Tips≠ | Regime-switching time series model | Nonlinear multivariate time-series model |
| Pirmavots≠ | 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 ↗ |
| Citi nosaukumi | regime-switching model, Markov-switching autoregression, MS-AR, MS-VAR | TVAR, STVAR, regime-switching VAR, threshold VAR |
| Saistītās | 5 | 5 |
| Kopsavilkums≠ | 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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