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Regression modelQuasi-experimental / causal inference

Robust syntetisk kontrolmetode

Den robuste syntetiske kontrolmetode udvider den klassiske syntetiske kontrolestimator ved at levere statistisk gyldig usikkerhedskvantificering og inferens. Den er udviklet af Cattaneo, Feng og Titiunik (2021) og adresserer en central begrænsning ved den oprindelige tilgang – manglen på formelle prædiktionsintervaller – hvilket gør kausale konklusioner mere forsvarlige, når kun en enkelt behandlet enhed observeres.

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Kilder

  1. Cattaneo, M. D., Feng, Y., & Titiunik, R. (2021). Prediction Intervals for Synthetic Control Methods. Journal of the American Statistical Association, 116(536), 1865-1880. DOI: 10.1080/01621459.2021.1979561
  2. Abadie, A., Diamond, A., & Hainmueller, J. (2015). Comparative Politics and the Synthetic Control Method. American Journal of Political Science, 59(2), 495-510. DOI: 10.1111/ajps.12116

Sådan citerer du denne side

ScholarGate. (2026, June 3). Robust Synthetic Control Method with Uncertainty Quantification. ScholarGate. https://scholargate.app/da/causal-inference/robust-synthetic-control-method

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ScholarGateRobust Synthetic Control Method (Robust Synthetic Control Method with Uncertainty Quantification). Hentet 2026-06-15 fra https://scholargate.app/da/causal-inference/robust-synthetic-control-method · Datasæt: https://doi.org/10.5281/zenodo.20539026