方法对比
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| 结构断裂动态面板数据模型× | 面板数据结构性断点分析× | |
|---|---|---|
| 领域 | 计量经济学 | 计量经济学 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 1991–1998 | 1998-2010 |
| 提出者≠ | Bai & Perron (break detection); Arellano & Bond (dynamic panel GMM) | Bai & Perron (1998); extended to panels by Bai (2010) and Joseph et al. |
| 类型≠ | Dynamic panel model with regime change | Panel time-series model with regime shifts |
| 开创性文献≠ | Bai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47–78. DOI ↗ | Bai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47-78. DOI ↗ |
| 别名 | dynamic panel with breaks, panel dynamic model structural change, DPDSB, panel dynamic structural break estimator | panel structural break test, break-point panel model, panel change-point analysis, regime-shift panel analysis |
| 相关≠ | 6 | 4 |
| 摘要≠ | The structural break dynamic panel data model extends the standard dynamic panel framework by allowing regression coefficients or the autoregressive parameter to shift at one or more unknown break dates. It combines GMM-based dynamic panel estimation with formal structural change tests, enabling researchers to study how economic relationships evolve across distinct regimes while controlling for unobserved individual heterogeneity and endogeneity of the lagged dependent variable. | Structural break panel data analysis detects and estimates points in time — break dates — where the underlying regression coefficients shift permanently across a panel of cross-sectional units observed over multiple periods. By jointly exploiting cross-sectional and time-series variation, it offers sharper identification of regime shifts than single-series break tests, and it delivers separate coefficient estimates for each regime before and after each break. |
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