השוואת שיטות
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| הפרש-הפרשים דינמי× | הפרש-בהפרשים (דיד)× | |
|---|---|---|
| תחום≠ | הסקה סיבתית | אקונומטריקה |
| משפחה | Regression model | Regression model |
| שנת המקור≠ | 2021 | 1994 |
| הוגה השיטה≠ | Callaway & Sant'Anna; Sun & Abraham | Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment) |
| סוג≠ | Causal inference / quasi-experimental | Causal inference / panel regression |
| מקור מכונן≠ | Callaway, B., & Sant'Anna, P. H. C. (2021). Difference-in-differences with multiple time periods. Journal of Econometrics, 225(2), 200-230. DOI ↗ | Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355 |
| כינויים≠ | Dynamic DiD, Staggered DiD, Event-time DiD, Heterogeneous-timing DiD | diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff) |
| קשורות≠ | 4 | 5 |
| תקציר≠ | Dynamic Difference-in-Differences extends the classic DiD framework to settings where units adopt treatment at different times. Rather than collapsing all variation into a single 2x2 comparison, it estimates group-time average treatment effects for each adoption cohort at each calendar period, then aggregates them into interpretable summaries of the causal effect over event time. | 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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