Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Системная GMM с Фурье-членами× | Системный метод GMM с учетом структурных разрывов× | |
|---|---|---|
| Область | Эконометрика | Эконометрика |
| Семейство | Regression model | Regression model |
| Год появления≠ | 2000s–2010s | 1998–2003 |
| Автор метода≠ | Blundell & Bond (System GMM, 1998); Fourier augmentation adapted from Gallant (1981) and Becker, Enders & Lee (2006) | Blundell & Bond (System GMM); Bai & Perron (structural break framework) |
| Тип≠ | Dynamic panel GMM with Fourier smooth-break regressors | Dynamic panel estimator with regime change |
| Основополагающий источник | Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143. DOI ↗ | Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143. DOI ↗ |
| Другие названия | Fourier System GMM, Fourier-augmented Blundell-Bond GMM, smooth-break system GMM, Fourier SGMM | System GMM with structural breaks, SB-SGMM, break-augmented System GMM, System GMM structural change estimator |
| Связанные | 6 | 6 |
| Сводка≠ | Fourier system GMM embeds Fourier trigonometric terms into the System GMM estimator of Blundell and Bond (1998) to accommodate smooth, gradual structural breaks in dynamic panel data. By adding sine and cosine components as regressors, the estimator captures unknown, potentially multiple regime shifts without requiring prior knowledge of break dates, while preserving the instrument-based controls for endogeneity and individual fixed effects. | 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. |
| ScholarGateНабор данных ↗ |
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