เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| การออกแบบการศึกษาเหตุการณ์แบบหลายช่วงเวลา× | Difference-in-Differences (DiD)× | |
|---|---|---|
| สาขาวิชา≠ | การอนุมานเชิงสาเหตุ | เศรษฐมิติ |
| ตระกูล | Regression model | Regression model |
| ปีกำเนิด≠ | 1993 | 1994 |
| ผู้ริเริ่ม≠ | Jacobson, LaLonde & Sullivan (1993); seminal methodological treatment by Sun & Abraham (2021) | Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment) |
| ประเภท≠ | Quasi-experimental causal inference | Causal inference / panel regression |
| แหล่งต้นตำรับ≠ | Jacobson, L. S., LaLonde, R. J., & Sullivan, D. G. (1993). Earnings losses of displaced workers. American Economic Review, 83(4), 888-909. link ↗ | Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355 |
| ชื่อเรียกอื่น≠ | multi-period event study, dynamic event study, relative-time event study, leads-and-lags design | diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff) |
| ที่เกี่ยวข้อง≠ | 3 | 5 |
| สรุป≠ | The multi-period event study design estimates causal treatment effects at each point in time relative to the treatment onset, using panel data with multiple pre- and post-treatment periods. By plotting the full path of treatment coefficients rather than a single average, it reveals how effects build up, fade, or remain stable over time — and allows formal tests of pre-treatment parallel trends across many periods simultaneously. | 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. |
| ScholarGateชุดข้อมูล ↗ |
|
|