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Panel Data Entropy Balancing/Evidence
Method evidence record

Panel Data Entropy Balancing

Panel data entropy balancing extends Hainmueller's (2012) entropy balancing method to longitudinal settings. It computes unit-level weights for control observations so that their covariate moments exactly match those of the treatment group across panel periods, then plugs these weights into a weighted panel regression to estimate causal treatment effects without requiring a correctly specified propensity score model.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Entropy Balancing for Panel Data
Taxonomic method record · regression-model / causal-inference
  • 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
  • Zhao, Q. (2019). Covariate balancing propensity score by tailored loss functions. Annals of Statistics, 47(2), 965-993. · DOI 10.1214/18-AOS1698
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Curated claims

Claims persisted in the evidence ledger, each with its own assessment.

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketEntropy Balancingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPanel Data Difference-in-Differencesmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPanel Data Inverse Probability Weightingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPanel Data Propensity Score Matchingmachine-suggested · Relational suggestion, not evidence.Same method familyPanel Fixed Effectsmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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