Сравнение на методи
Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| Модел на плъзгаща се средна стойност (MA) със структурна промяна× | Модел на авторегресия със структурни промени× | |
|---|---|---|
| Област | Иконометрия | Иконометрия |
| Семейство | Regression model | Regression model |
| Година на възникване≠ | 1989–1992 | 1989-2003 |
| Създател≠ | Perron (1989); Zivot & Andrews (1992) | Perron (1989); Bai & Perron (1998, 2003) |
| Тип≠ | Time series model with structural change | Time-series model with structural change |
| Основополагащ източник≠ | Perron, P. (1989). The great crash, the oil price shock, and the unit root hypothesis. Econometrica, 57(6), 1361–1401. DOI ↗ | Bai, J., & Perron, P. (2003). Computation and analysis of multiple structural change models. Journal of Applied Econometrics, 18(1), 1-22. DOI ↗ |
| Други названия | MA model with structural change, broken MA model, MA with regime shift, structural break moving average | AR model with structural change, breakpoint AR model, piecewise autoregressive model, AR model with regime shifts |
| Свързани≠ | 5 | 6 |
| Резюме≠ | A Moving Average (MA) time series model augmented to accommodate one or more structural breaks — abrupt shifts in the mean, variance, or MA coefficients occurring at known or unknown break dates. Ignoring structural breaks in an MA process inflates forecast errors and distorts inference on the error dynamics. | The structural break AR model extends the standard autoregressive framework by allowing the intercept and autoregressive coefficients to shift at one or more unknown break dates. Each regime between consecutive break points is governed by its own AR parameters, capturing abrupt changes in the dynamics of a time series caused by crises, policy shifts, or other shocks. |
| ScholarGateНабор от данни ↗ |
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