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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Method map
The neighbourhood of related methods — select a node to explore.
Kilder
- 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 ↗
- 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
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.
- Dynamisk Invers SandsynlighedsvægtningKausal inferens↔ compare
- Dynamisk propensity score-matchingKausal inferens↔ compare
- Entropy BalancingKausal inferens↔ compare
- Vægtning med den inverse behandlingssandsynlighed (IPW / IPTW)Kausal inferens↔ compare
- Marginal Structural Model (MSM)Kausal inferens↔ compare
- Propensity Score Weighting (PSW / IPW)Kausal inferens↔ compare
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