เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| การวิเคราะห์อนุกรมเวลาขัดจังหวะแบบพลวัต× | Difference-in-Differences (DiD)× | |
|---|---|---|
| สาขาวิชา≠ | การอนุมานเชิงสาเหตุ | เศรษฐมิติ |
| ตระกูล | Regression model | Regression model |
| ปีกำเนิด≠ | 2002–2017 | 1994 |
| ผู้ริเริ่ม≠ | Wagner, Soumerai, Zhang & Ross-Degnan; extended by Lopez Bernal, Cummins & Gasparrini | Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment) |
| ประเภท≠ | Quasi-experimental time-series design | Causal inference / panel regression |
| แหล่งต้นตำรับ≠ | 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 |
| ชื่อเรียกอื่น≠ | Dynamic ITS, ITS with lagged effects, time-varying ITS, flexible ITS | diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff) |
| ที่เกี่ยวข้อง≠ | 4 | 5 |
| สรุป≠ | 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. |
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