Panel Data Interrupted Time Series
Panel Data Interrupted Time Series (panel ITS) er en kvasi-eksperimentel metode, der estimerer den kausale effekt af en intervention ved hjælp af gentagne observationer fra flere enheder over tid. Ved at udnytte variation på tværs af både enheder og tidsperioder giver den stærkere kausal identifikation end ITS for enkelte enheder, idet den detekterer ændringer i niveauet og hældningen af resultatets bane umiddelbart efter en klart dateret intervention.
Læs hele metoden
Log ind med en gratis konto for at læse dette afsnit.
Method map
The neighbourhood of related methods — select a node to explore.
+1 more
Kilder
- Lopez Bernal, J., Cummins, S., & Gasparrini, A. (2017). Interrupted time series regression for the evaluation of public health interventions: a tutorial. International Journal of Epidemiology, 46(1), 348-355. DOI: 10.1093/ije/dyw098 ↗
- Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and Quasi-Experimental Designs for Generalized Causal Inference. Houghton Mifflin. ISBN: 978-0395615560
Sådan citerer du denne side
ScholarGate. (2026, June 3). Panel Data Interrupted Time Series Analysis. ScholarGate. https://scholargate.app/da/causal-inference/panel-data-interrupted-time-series
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
- Afbrudt tidsserieanalyse (ITS)Kausal inferens↔ 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
Refereret af
Har du fundet en fejl på denne side? Indberet den eller foreslå en rettelse →