Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Географический регрессионный разрыв (Geographic Regression Discontinuity, GRD)× | Интерактивные фиксированные эффекты× | |
|---|---|---|
| Область | Эконометрика | Эконометрика |
| Семейство | Regression model | Regression model |
| Год появления≠ | 2010 | 2009 |
| Автор метода≠ | Melissa Dell and colleagues | Jushan Bai |
| Тип≠ | Spatial quasi-experiment | Panel with latent structure |
| Основополагающий источник≠ | Dell, M. (2018). The persistent effects of Peru's mining mita. Econometrica, 78(6), 1863-1911. link ↗ | Bai, J. (2009). Panel data models with interactive fixed effects. Econometric Reviews, 28(4), 289-312. link ↗ |
| Другие названия≠ | Spatial RD, Geographic RDD | Factor models with individual heterogeneity |
| Связанные | 3 | 3 |
| Сводка≠ | Geographic Regression Discontinuity (GRD) is a quasi-experimental design that exploits sharp geographic boundaries—borders, policy boundaries, or natural features—to estimate causal effects. Introduced by Dell (2010) and others, it compares outcomes on either side of a boundary where treatment changes abruptly, leveraging the idea that units on opposite sides of a border are otherwise similar. This approach yields credible causal estimates for spatially localized policies, institutional changes, and natural phenomena. | Interactive Fixed Effects (IFE) extends standard fixed-effects panel models by allowing unit-specific intercepts to vary not just at the individual level but also with unobserved common time-varying factors. Introduced by Bai (2009), it models heterogeneity as the interaction of individual characteristics and common shocks, ideal for studying cross-sectional variation in how units respond to macro conditions. This framework dominates when common factors drive substantial heterogeneity. |
| ScholarGateНабор данных ↗ |
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