Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Нелинейный анализ панельных данных× | Модель с фиксированными эффектами для панельных данных× | |
|---|---|---|
| Область | Эконометрика | Эконометрика |
| Семейство | Regression model | Regression model |
| Год появления≠ | 1986–2010 | 2014 |
| Автор метода≠ | Cheng Hsiao; Jeffrey M. Wooldridge | Hsiao (textbook treatment); within transformation of panel data |
| Тип≠ | Panel data model (nonlinear) | Panel data regression |
| Основополагающий источник≠ | Wooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press. ISBN: 978-0262232586 | Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗ |
| Другие названия | nonlinear panel models, panel nonlinear econometrics, fixed-effects nonlinear models, random-effects nonlinear models | fixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli |
| Связанные≠ | 4 | 5 |
| Сводка≠ | Nonlinear panel data analysis applies nonlinear models — such as probit, logit, Poisson, or Tobit — to repeated observations on the same units over time. It accounts for unit-specific unobserved heterogeneity while capturing non-linear relationships between predictors and the outcome, making it essential when the dependent variable is binary, count-based, censored, or otherwise non-continuous. | 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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