Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Тест Йохансена на коинтеграцию со структурным разрывом× | Тест на коинтеграцию Энгла-Грейнджера с структурным разрывом× | |
|---|---|---|
| Область | Эконометрика | Эконометрика |
| Семейство | Regression model | Regression model |
| Год появления≠ | 2000–2001 | 1996 |
| Автор метода≠ | Johansen (1988); structural-break extensions by Saikkonen & Lütkepohl (2000) and Lütkepohl, Müller & Saikkonen (2001) | Gregory & Hansen (1996), extending Engle & Granger (1987) |
| Тип≠ | Cointegration test / VECM estimation | Cointegration test with structural break |
| Основополагающий источник≠ | Johansen, S. (1988). Statistical analysis of cointegration vectors. Journal of Economic Dynamics and Control, 12(2–3), 231–254. DOI ↗ | Gregory, A. W., & Hansen, B. E. (1996). Residual-based tests for cointegration in models with regime shifts. Journal of Econometrics, 70(1), 99-126. link ↗ |
| Другие названия | Johansen cointegration with breaks, break-robust Johansen test, cointegration test with regime shifts, structural change Johansen VECM | Gregory-Hansen cointegration test, cointegration with structural break, EG cointegration with regime shift, residual-based cointegration with break |
| Связанные≠ | 5 | 2 |
| Сводка≠ | The structural break Johansen cointegration test extends the standard maximum-likelihood Johansen procedure to settings where the multivariate time series exhibits level shifts or trend breaks. By incorporating dummy variables or shift regressors into the VECM, the test determines the cointegrating rank without confounding genuine long-run relationships with regime changes. | The structural break Engle-Granger cointegration test, most commonly implemented via the Gregory-Hansen (1996) procedure, extends the classical Engle-Granger two-step test to allow for a single unknown structural break in the long-run cointegrating relationship. It tests whether two or more integrated series share a common stochastic trend even when that relationship may have shifted at some point in the sample. |
| ScholarGateНабор данных ↗ |
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