Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Прерывистый временной ряд с гетерогенными эффектами воздействия (HTE-ITS)× | Разность разностей (Difference-in-Differences, DiD)× | |
|---|---|---|
| Область≠ | Причинно-следственный вывод | Эконометрика |
| Семейство | Regression model | Regression model |
| Год появления≠ | 2000s–2010s | 1994 |
| Автор метода≠ | Extensions of Shadish, Cook & Campbell (2002) ITS framework; HTE formulation developed by Lopez Bernal and colleagues | Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment) |
| Тип≠ | Quasi-experimental segmented regression with subgroup moderation | Causal inference / panel regression |
| Основополагающий источник≠ | Lopez Bernal, J., Cummins, S., & Gasparrini, A. (2017). Interrupted time series regression for the evaluation of public health interventions: a tutorial. International Journal of Epidemiology, 46(1), 348-355. DOI ↗ | Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355 |
| Другие названия≠ | HTE-ITS, Subgroup ITS, Effect-modifier ITS, Segmented ITS with interaction | diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff) |
| Связанные≠ | 4 | 5 |
| Сводка≠ | Heterogeneous Treatment Effect Interrupted Time Series extends the standard ITS design to detect whether an intervention's effect on a time series differs systematically across subgroups or in response to unit-level moderators. Where ordinary ITS yields a single level-change and slope-change estimate, HTE-ITS adds interaction terms for a moderating variable, revealing who benefits more or less from the intervention and by how much. | 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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