Сравнение на методи
Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| Пространствено панелно събитие изследване× | Метод на разликите в разликите (Difference-in-Differences, DiD)× | |
|---|---|---|
| Област≠ | Причинно-следствено заключение | Иконометрия |
| Семейство | Regression model | Regression model |
| Година на възникване≠ | 2010s–2020s | 1994 |
| Създател≠ | Synthesized from spatial econometrics and panel event-study literatures; formalized in applied work in the 2010s–2020s | Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment) |
| Тип≠ | Quasi-experimental causal inference | Causal inference / panel regression |
| Основополагащ източник≠ | Sun, L., & Callaway, B. (2021). Difference-in-differences estimators of intertemporal treatment effects. arXiv:2109.10157. link ↗ | Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355 |
| Други названия≠ | spatial event study, spatial DiD event study, geo-panel event study, spatial panel ES | diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff) |
| Свързани≠ | 4 | 5 |
| Резюме≠ | Spatial panel event study extends the classical panel event-study design to settings where units are geographically located and outcomes may spill over across space. By combining event-time indicators with spatial weights matrices, it estimates dynamic treatment effects while explicitly accounting for spatial autocorrelation, geographic spillovers, and cross-unit contamination that would bias conventional event studies. | 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 от данни ↗ |
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