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Regression modelQuasi-experimental / causal inference

Dynamisk Entropibalancering

Dynamisk Entropibalancering udvider entropibalancerings-reweighting-tilgangen til indstillinger med tidsvarierende behandlinger i panel- eller longitudinelle data. Den konstruerer enhedsvægte i hver tidsperiode, således at kovariatfordelingerne af behandlede og sammenligningsenheder er balancerede på specificerede momenter, justerer sekventielt for tidligere behandlingshistorik og tidsvarierende konfoundere for at estimere den kausale effekt af behandlingssekvenser på udfald.

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Kilder

  1. Hainmueller, J. (2012). Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies. Political Analysis, 20(1), 25-46. DOI: 10.1093/pan/mpr025
  2. Blackwell, M., & Glynn, A. N. (2018). How to Make Causal Inferences with Time-Series Cross-Sectional Data under Selection on Observables. American Political Science Review, 112(4), 1067-1082. DOI: 10.1017/S0003055418000357

Sådan citerer du denne side

ScholarGate. (2026, June 3). Dynamic Entropy Balancing for Longitudinal Causal Inference. ScholarGate. https://scholargate.app/da/causal-inference/dynamic-entropy-balancing

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ScholarGateDynamic Entropy Balancing (Dynamic Entropy Balancing for Longitudinal Causal Inference). Hentet 2026-06-15 fra https://scholargate.app/da/causal-inference/dynamic-entropy-balancing · Datasæt: https://doi.org/10.5281/zenodo.20539026