Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Модель структурного розриву Difference GMM (GMM з розривами у відмінностях)× | Системний GMM для структурних розривів× | |
|---|---|---|
| Галузь | Економетрика | Економетрика |
| Родина | Regression model | Regression model |
| Рік появи≠ | 1991 / 1998 | 1998–2003 |
| Автор методу≠ | Arellano & Bond (Difference GMM); Bai & Perron (structural break testing) | Blundell & Bond (System GMM); Bai & Perron (structural break framework) |
| Тип≠ | Dynamic panel estimator with structural breaks | Dynamic panel estimator with regime change |
| Основоположне джерело≠ | 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 ↗ | Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143. DOI ↗ |
| Інші назви | Difference GMM with structural breaks, break-augmented Arellano-Bond GMM, dynamic panel GMM with regime shifts, structural change Difference GMM | System GMM with structural breaks, SB-SGMM, break-augmented System GMM, System GMM structural change estimator |
| Пов'язані | 6 | 6 |
| Підсумок≠ | 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. | Structural Break System GMM extends the Blundell-Bond System GMM estimator for dynamic panel data by explicitly accounting for structural breaks — abrupt regime changes in slopes, intercepts, or dynamics — that, if ignored, bias the coefficient estimates and invalidate the moment conditions that underpin standard GMM inference. |
| ScholarGateНабір даних ↗ |
|
|