Dynamisk Difference-in-Differences
Dynamisk Difference-in-Differences (DiD) udvider det klassiske DiD-rammeværk til situationer, hvor enheder adopterer behandling på forskellige tidspunkter. I stedet for at samle al variation i en enkelt 2x2-sammenligning estimeres gennemsnitlige behandlingseffekter for gruppe-tid for hver adoptionskohorte i hver kalenderperiode, og disse aggregeres derefter til fortolkelige opsummeringer af den kausale effekt over begivenhedstid.
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Method map
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Kilder
- Callaway, B., & Sant'Anna, P. H. C. (2021). Difference-in-differences with multiple time periods. Journal of Econometrics, 225(2), 200-230. DOI: 10.1016/j.jeconom.2020.12.001 ↗
- Sun, L., & Abraham, S. (2021). Estimating dynamic treatment effects in event studies with heterogeneous treatment effects. Journal of Econometrics, 225(2), 175-199. DOI: 10.1016/j.jeconom.2020.09.006 ↗
Sådan citerer du denne side
ScholarGate. (2026, June 3). Dynamic Difference-in-Differences Estimator. ScholarGate. https://scholargate.app/da/causal-inference/dynamic-difference-in-differences
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Difference-in-Differences (Diff-in-Diff)Økonometri↔ compare
- Panel Data Difference-in-Differences (Panel DiD / TWFE)Kausal inferens↔ compare
- Panel Data Fixed Effects ModelØkonometri↔ compare
- Syntetisk Kontrol Metode (SCM)Kausal inferens↔ compare
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