Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Модель авторегресії панелі (Panel AR)× | Оцінювач GMM за Ареллано-Бондом× | |
|---|---|---|
| Галузь | Економетрика | Економетрика |
| Родина | Regression model | Regression model |
| Рік появи≠ | 1980s-2000s | 1991 |
| Автор методу≠ | Hsiao, C.; Arellano, M. | Manuel Arellano and Stephen Bond |
| Тип≠ | Autoregressive time-series model for panel data | GMM estimator for dynamic panel data |
| Основоположне джерело≠ | Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717 | 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 ↗ |
| Інші назви | panel autoregressive model, PAR model, AR model for panel data, panel AR(p) | AB-GMM, Difference GMM, first-difference GMM, Arellano-Bond estimator |
| Пов'язані | 5 | 5 |
| Підсумок≠ | The Panel AR model extends the classical univariate autoregressive model to panel data, capturing how each unit's own past values predict its current value while controlling for unobserved individual heterogeneity through fixed or random effects. It is foundational for modelling dynamic persistence in micro or macro panel datasets. | The Arellano-Bond GMM estimator is the standard approach for dynamic panel data models in which the lagged dependent variable appears as a regressor. By first-differencing to remove fixed effects and using deeper lags as instruments, it yields consistent estimates even when the error is serially correlated and regressors are endogenous. |
| ScholarGateНабір даних ↗ |
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