Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Различия в различиях гетерогенных эффектов воздействия (HTE-DiD)× | Разность разностей (Difference-in-Differences, DiD)× | |
|---|---|---|
| Область≠ | Причинно-следственный вывод | Эконометрика |
| Семейство | Regression model | Regression model |
| Год появления≠ | 2021 | 1994 |
| Автор метода≠ | Callaway & Sant'Anna; Sun & Abraham | Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment) |
| Тип | Causal inference / panel regression | Causal inference / panel regression |
| Основополагающий источник≠ | Callaway, B., & Sant'Anna, P. H. C. (2021). Difference-in-Differences with multiple time periods. Journal of Econometrics, 225(2), 200-230. DOI ↗ | Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355 |
| Другие названия≠ | HTE-DiD, heterogeneous DiD, CATT estimator, group-time ATT | diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff) |
| Связанные≠ | 4 | 5 |
| Сводка≠ | HTE-DiD extends the classic Difference-in-Differences estimator to settings where treatment effects vary across units, time periods, or treatment cohorts. Developed formally by Callaway and Sant'Anna (2021) and Sun and Abraham (2021), it avoids the biases that arise when a conventional two-way fixed-effects regression is used with staggered adoption or effect heterogeneity, by estimating cohort-and-time-specific average treatment effects that can then be aggregated flexibly. | Difference-in-Differences is a causal-inference method that estimates the effect of an intervention by comparing how a treatment group and a control group change over time. Made famous by Card and Krueger's 1994 minimum-wage study and developed in Angrist and Pischke's Mostly Harmless Econometrics, it isolates the treatment effect as the difference between the two groups' before-after changes. |
| ScholarGateНабор данных ↗ |
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