قارن الطرق
راجع الطرق التي اخترتها جنبًا إلى جنب؛ الصفوف المختلفة مميَّزة.
| تقدير فرق العزوم المعمم لكسر بنيوي (Structural Break Difference GMM)× | مقدّر الأرلينو-بوند العام للعزوم× | |
|---|---|---|
| المجال | الاقتصاد القياسي | الاقتصاد القياسي |
| العائلة | Regression model | Regression model |
| سنة النشأة≠ | 1991 / 1998 | 1991 |
| صاحب الطريقة≠ | Arellano & Bond (Difference GMM); Bai & Perron (structural break testing) | Manuel Arellano and Stephen Bond |
| النوع≠ | Dynamic panel estimator with structural breaks | GMM estimator for dynamic panel data |
| المصدر التأسيسي≠ | Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The Review of Economic Studies, 58(2), 277–297. DOI ↗ | Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Review of Economic Studies, 58(2), 277-297. DOI ↗ |
| الأسماء البديلة | Difference GMM with structural breaks, break-augmented Arellano-Bond GMM, dynamic panel GMM with regime shifts, structural change Difference GMM | AB-GMM, Difference GMM, first-difference GMM, Arellano-Bond estimator |
| ذات صلة≠ | 6 | 5 |
| الملخص≠ | Structural Break Difference GMM extends the Arellano-Bond first-difference GMM estimator to dynamic panel settings where the data-generating process shifts at one or more unknown breakpoints. By explicitly incorporating break indicators or allowing regime-specific parameters, the estimator avoids the biased coefficient and invalid moment conditions that arise when a structural change is ignored in a standard Difference GMM fit. | The Arellano-Bond GMM estimator is the standard approach for dynamic panel data models in which the lagged dependent variable appears as a regressor. By first-differencing to remove fixed effects and using deeper lags as instruments, it yields consistent estimates even when the error is serially correlated and regressors are endogenous. |
| ScholarGateمجموعة البيانات ↗ |
|
|