Event Study Design (Kausal Event Study)
Event study-designet er en generaliseret difference-in-differences-model, der estimerer en separat behandlingseffekt-koefficient for hver periode før og efter en intervention, og sporer effekten dynamik over begivenhedstid. Dens moderne, heterogenitets-robuste form blev udviklet af Sun & Abraham (2021) og Callaway & Sant'Anna (2021).
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Method map
The neighbourhood of related methods — select a node to explore.
Kilder
- 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 ↗
- 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 ↗
Sådan citerer du denne side
ScholarGate. (2026, June 1). Event Study Design (Causal Event Study). ScholarGate. https://scholargate.app/da/causal-inference/event-study-causal
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.
- Afbrudt tidsserieanalyse (ITS)Kausal inferens↔ compare
- Panel Data Fixed Effects ModelØkonometri↔ compare
- Regression Discontinuity Design (RDD)Kausal inferens↔ compare
- Shift-Share Instrumental Variable (Bartik-instrument)Kausal inferens↔ compare
- Staggered Difference-in-DifferencesKausal inferens↔ compare
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