Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Нелинейная динамическая панельная модель× | Модель с фиксированными эффектами для панельных данных× | |
|---|---|---|
| Область | Эконометрика | Эконометрика |
| Семейство | Regression model | Regression model |
| Год появления≠ | 1981-2005 | 2014 |
| Автор метода≠ | Wooldridge (2005); Honore & Tamer (2006); building on Heckman (1981) | Hsiao (textbook treatment); within transformation of panel data |
| Тип≠ | Dynamic panel estimator with nonlinear response | Panel data regression |
| Основополагающий источник≠ | Wooldridge, J. M. (2005). Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity. Journal of Applied Econometrics, 20(1), 39-54. DOI ↗ | Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗ |
| Другие названия | nonlinear dynamic panel, dynamic nonlinear panel estimator, NDPDM, nonlinear panel with lagged dependent variable | fixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli |
| Связанные≠ | 3 | 5 |
| Сводка≠ | The nonlinear dynamic panel data model extends standard panel methods to settings where the outcome is binary, count-valued, or censored and where past realizations of the outcome directly affect current ones. It handles unobserved individual heterogeneity alongside state dependence, disentangling genuine persistence from spurious persistence driven by unmeasured unit characteristics. | 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). |
| ScholarGateНабор данных ↗ |
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