قارن الطرق
راجع الطرق التي اخترتها جنبًا إلى جنب؛ الصفوف المختلفة مميَّزة.
| مقدّر التأثيرات المترابطة الشائعة للمجموعة المتوسطة (CCEMG)× | مقدّر المجموعة المتوسطة المعززة (AMG)× | نموذج التأثيرات الثابتة لبيانات السلاسل الزمنية المقطعية× | |
|---|---|---|---|
| المجال | الاقتصاد القياسي | الاقتصاد القياسي | الاقتصاد القياسي |
| العائلة | Regression model | Regression model | Regression model |
| سنة النشأة≠ | 2006 | 2010 | 2014 |
| صاحب الطريقة≠ | M. Hashem Pesaran | Eberhardt & Teal; Bond & Eberhardt | Hsiao (textbook treatment); within transformation of panel data |
| النوع≠ | Heterogeneous panel estimator | Heterogeneous panel data estimator | Panel data regression |
| المصدر التأسيسي≠ | Pesaran, M. H. (2006). Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure. Econometrica, 74(4), 967-1012. DOI ↗ | Eberhardt, M. & Teal, F. (2010). Productivity Analysis in Global Manufacturing Production. Economics Series Working Papers, No. 515, University of Oxford. link ↗ | Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗ |
| الأسماء البديلة≠ | common correlated effects, CCE, CCEMG, Pesaran CCE estimator | AMG estimator, augmented mean group, Artırılmış Ortalama Grup Tahmincisi (AMG) | fixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli |
| ذات صلة≠ | 4 | 4 | 5 |
| الملخص≠ | The Common Correlated Effects Mean Group estimator, introduced by Pesaran in 2006, is a heterogeneous panel-data estimator that controls for cross-sectional dependence by approximating unobserved common factors with the cross-section averages of the variables. It remains consistent when the slope coefficients differ across units. | The Augmented Mean Group estimator, developed by Eberhardt and Teal (2010), is a panel data method for estimating heterogeneous slope coefficients in the presence of cross-sectional dependence. It approximates the unobserved common dynamic process driving all units and folds it into unit-by-unit regressions, then averages the results. | The Panel Data Fixed Effects model estimates relationships from panel data (the same units observed over several time periods) while controlling for unit- and/or time-specific effects, supporting causal inference. It is developed as the within estimator in standard treatments such as Hsiao's Analysis of Panel Data (2014). |
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