Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| WLS (Weighted Least Squares) ar strukturālo pārtraukumu labojumu× | Zivot-Andrews strukturālās lūzuma vietas tests× | |
|---|---|---|
| Nozare | Ekonometrija | Ekonometrija |
| Saime | Regression model | Regression model |
| Izcelsmes gads≠ | 1998 (break framework); WLS long-established | 1992 |
| Autors≠ | Bai & Perron (structural break framework); WLS classical | Eric Zivot and Donald W. K. Andrews |
| Tips≠ | Weighted regression with regime shifts | Unit root test with endogenous structural break |
| Pirmavots≠ | 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 ↗ |
| Citi nosaukumi | WLS with structural change, break-corrected WLS, segmented WLS, structural break weighted regression | ZA test, Zivot-Andrews unit root test, endogenous structural break unit root test, ZA structural break test |
| Saistītās≠ | 5 | 6 |
| Kopsavilkums≠ | Structural Break WLS combines Weighted Least Squares estimation with explicit detection and correction for structural breaks — abrupt regime shifts — in the data. By identifying break points and assigning observation-level weights that account for heteroscedasticity within and across regimes, the estimator delivers consistent, efficient coefficient estimates even when the error variance changes dramatically at a break. | 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. |
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