ScholarGate
Assistent
Regression modelQuasi-experimental / causal inference

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.

Åbn i MethodMindSnartVideoSnartDownload slides

Læs hele metoden

Kun for medlemmer

Log ind med en gratis konto for at læse dette afsnit.

Log ind

Method map

The neighbourhood of related methods — select a node to explore.

+18 more

Kilder

  1. 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
  2. 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.

Compare side by side

Refereret af

ScholarGateDynamic Difference-in-Differences (Dynamic Difference-in-Differences Estimator). Hentet 2026-06-15 fra https://scholargate.app/da/causal-inference/dynamic-difference-in-differences · Datasæt: https://doi.org/10.5281/zenodo.20539026