方法对比
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| 傅里叶系统GMM× | Fourier Arellano-Bond GMM× | |
|---|---|---|
| 领域 | 计量经济学 | 计量经济学 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 2000s–2010s | 2010s |
| 提出者≠ | Blundell & Bond (System GMM, 1998); Fourier augmentation adapted from Gallant (1981) and Becker, Enders & Lee (2006) | Extension of Arellano & Bond (1991) with Fourier flexible form augmentation |
| 类型≠ | Dynamic panel GMM with Fourier smooth-break regressors | Dynamic panel GMM estimator with smooth structural break accommodation |
| 开创性文献≠ | Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143. 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 ↗ |
| 别名 | Fourier System GMM, Fourier-augmented Blundell-Bond GMM, smooth-break system GMM, Fourier SGMM | Fourier AB-GMM, Fourier first-differenced GMM, Fourier dynamic panel GMM, Fourier-extended Arellano-Bond estimator |
| 相关≠ | 6 | 2 |
| 摘要≠ | 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. | Fourier Arellano-Bond GMM is a dynamic panel estimator that augments the classic Arellano-Bond first-differenced GMM framework with Fourier trigonometric terms to capture smooth, gradual structural breaks in the time dimension. It handles endogeneity through lagged-level instruments while remaining robust to unknown nonlinear trends that standard difference GMM ignores. |
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