ScholarGate
Assistent
Regression modelQuasi-experimental / causal inference

Robust Difference-in-Differences

Robust Difference-in-Differences er en familie af moderne DiD-estimatorer designet til at forblive gyldige, når behandlingstidspunktet er forskudt på tværs af enheder, og behandlingseffekter er heterogene over tid eller på tværs af grupper. Klassisk tovejs fixed-effects (TWFE) DiD kan være alvorligt biased i sådanne situationer; robuste varianter estimerer gruppe-tid gennemsnitlige behandlingseffekter (ATTs) separat og aggregerer dem derefter på en teoretisk sund måde.

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.

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. Roth, J., Sant'Anna, P. H. C., Bilinski, A., & Poe, J. (2023). What's trending in difference-in-differences? A synthesis of the recent econometrics literature. Journal of Econometrics, 235(2), 2218-2244. DOI: 10.1016/j.jeconom.2023.03.008

Sådan citerer du denne side

ScholarGate. (2026, June 3). Robust Difference-in-Differences Estimator. ScholarGate. https://scholargate.app/da/causal-inference/robust-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

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