قارن الطرق
راجع الطرق التي اخترتها جنبًا إلى جنب؛ الصفوف المختلفة مميَّزة.
| نموذج البيانات الديناميكية اللوحية ذات الانقطاع الهيكلي× | تقدير GMM للنظام للبيانات المقطعية (مُقدِّر Blundell-Bond)× | |
|---|---|---|
| المجال | الاقتصاد القياسي | الاقتصاد القياسي |
| العائلة | Regression model | Regression model |
| سنة النشأة≠ | 1991–1998 | 1998 |
| صاحب الطريقة≠ | Bai & Perron (break detection); Arellano & Bond (dynamic panel GMM) | Blundell & Bond (1998); Arellano & Bover (1995) |
| النوع≠ | Dynamic panel model with regime change | GMM estimator for dynamic panel data |
| المصدر التأسيسي≠ | Bai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47–78. DOI ↗ | Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143. DOI ↗ |
| الأسماء البديلة | dynamic panel with breaks, panel dynamic model structural change, DPDSB, panel dynamic structural break estimator | System GMM, Blundell-Bond estimator, SYS-GMM, two-step System GMM |
| ذات صلة | 6 | 6 |
| الملخص≠ | 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. | Panel System GMM is a two-equation GMM estimator for dynamic panel data that stacks the differenced equation (using lagged levels as instruments) with the levels equation (using lagged differences as instruments). Developed by Blundell and Bond (1998) on the foundation of Arellano and Bover (1995), it is the preferred tool when the lagged dependent variable is highly persistent or individual effects are large. |
| ScholarGateمجموعة البيانات ↗ |
|
|