Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Динамічний аналіз перерваних часових рядів× | Різниця різниць (Diff-in-Diff)× | |
|---|---|---|
| Галузь≠ | Причинно-наслідковий висновок | Економетрика |
| Родина | Regression model | Regression model |
| Рік появи≠ | 2002–2017 | 1994 |
| Автор методу≠ | Wagner, Soumerai, Zhang & Ross-Degnan; extended by Lopez Bernal, Cummins & Gasparrini | Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment) |
| Тип≠ | Quasi-experimental time-series design | Causal inference / panel regression |
| Основоположне джерело≠ | 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 |
| Інші назви≠ | Dynamic ITS, ITS with lagged effects, time-varying ITS, flexible ITS | diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff) |
| Пов'язані≠ | 4 | 5 |
| Підсумок≠ | Dynamic Interrupted Time Series (Dynamic ITS) extends the standard ITS design by allowing intervention effects to build up, decay, or shift over multiple time lags rather than assuming a single instantaneous level change. It estimates how an intervention's impact evolves across time periods, making it especially suited to public health, health services research, and policy evaluation where effects accumulate gradually or wear off after initial impact. | 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. |
| ScholarGateНабір даних ↗ |
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