Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Модель с фиксированными эффектами и структурными сдвигами× | Тест Зивота-Эндрюса на структурный разрыв× | |
|---|---|---|
| Область | Эконометрика | Эконометрика |
| Семейство | Regression model | Regression model |
| Год появления≠ | 1998 (Bai-Perron); FE estimator classical | 1992 |
| Автор метода≠ | Bai & Perron (structural break testing); Mundlak / within-group estimator tradition | Eric Zivot and Donald W. K. Andrews |
| Тип≠ | Panel regression with regime change | Unit root test with endogenous structural break |
| Основополагающий источник≠ | Bai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47-78. DOI ↗ | Zivot, E., & Andrews, D. W. K. (1992). Further evidence on the great crash, the oil-price shock, and the unit-root hypothesis. Journal of Business & Economic Statistics, 10(3), 251–270. DOI ↗ |
| Другие названия | FE model with structural breaks, break-adjusted fixed effects, panel fixed effects with regime shifts, structural change fixed effects estimator | ZA test, Zivot-Andrews unit root test, endogenous structural break unit root test, ZA structural break test |
| Связанные | 6 | 6 |
| Сводка≠ | The structural break fixed effects model extends the standard within-group (FE) panel estimator by allowing the slope coefficients to shift at one or more detected break dates. Each unit's unobserved time-invariant heterogeneity is still removed by demeaning, but separate coefficient regimes are estimated for each sub-period, capturing policy shifts, crises, or technological transitions that would otherwise bias a single-regime FE estimate. | The Zivot-Andrews (ZA) test is a unit root test that endogenously identifies the most likely location of a single structural break in a time series. Unlike the standard ADF test, it does not require the researcher to pre-specify when the break occurred, making it robust to data-driven regime shifts such as policy changes, financial crises, or major economic events. |
| ScholarGateНабор данных ↗ |
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